<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>database</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/152/feed"/>
    <updated>2026-09-16T09:48:55+00:00</updated>
    <id>https://links.biapy.com/guest/tags/152/feed</id>
            <entry>
            <id>https://links.biapy.com/links/13902</id>
            <title type="text"><![CDATA[dbmask]]></title>
            <link rel="alternate" href="https://sealandseacat.github.io/dbmask/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13902"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discover, mask, and verify sensitive data in SQL databases — an auditable scan → mask → validate workflow for safe database copies.

- [dbmask @ GitHub](https://github.com/sealandseacat/dbmask).]]>
            </summary>
            <updated>2026-09-14T06:31:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13889</id>
            <title type="text"><![CDATA[Neki]]></title>
            <link rel="alternate" href="https://neki.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13889"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sharded Postgres by PlanetScale.

Neki is sharded Postgres by PlanetScale. Every shard is real Postgres. Neki adds the router, sidecars, and control plane to scale it past a single machine, to hundreds of millions of QPS and petabytes of data, without downtime.

Related contents:

- [Introducing Neki @ PlanetScale](https://planetscale.com/blog/introducing-neki).]]>
            </summary>
            <updated>2026-09-14T05:46:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13819</id>
            <title type="text"><![CDATA[YugabyteDB]]></title>
            <link rel="alternate" href="https://www.yugabyte.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13819"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the cloud native distributed SQL database for mission-critical applications.
AI-Ready, Distributed, Postgres-Compatible Database.
Distributed PostgreSQL for Modern Apps

YugabyteDB is a PostgreSQL-compatible, high-performance, cloud-native, distributed SQL database. It combines the benefits of traditional relational databases with the scalability of NoSQL systems, making it suitable for applications that require both transactional consistency and the ability to handle large amounts of data. It is best suited for cloud-native OLTP (that is, real-time, business-critical) applications that need absolute data correctness and require at least one of the following: scalability, high tolerance to failures, or globally-distributed deployments.

- [YugabyteDB @ GitHub](https://github.com/yugabyte/yugabyte-db).]]>
            </summary>
            <updated>2026-09-07T11:58:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13737</id>
            <title type="text"><![CDATA[LatticeDB]]></title>
            <link rel="alternate" href="https://latticedb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13737"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Embedded property-graph database with native vector and full-text indexing.
Think SQLite, but for connected data you want to query by relationship, semantics, and text.
Embedded single-file knowledge graph database with vector search and full-text search for AI/RAG apps.

One file. Relationship traversal, vector similarity, BM25 full-text search, durable streams, and ACID transactions in one local engine and one query layer.

- [LatticeDB @ GitHub](https://github.com/jeffhajewski/latticedb).]]>
            </summary>
            <updated>2026-08-31T09:18:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13715</id>
            <title type="text"><![CDATA[syncular]]></title>
            <link rel="alternate" href="https://syncular.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13715"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Offline-first SQL sync with Typescript and Rust cores.

Syncular keeps an SQLite database on each client and synchronizes it through a server-owned commit log. Apps read from local SQLite and continue to work offline. A write updates local state immediately, enters an outbox, and is checked by the server when it syncs.

- [syncular @ GitHub](https://github.com/syncular/syncular).]]>
            </summary>
            <updated>2026-08-21T14:11:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13631</id>
            <title type="text"><![CDATA[PGSimCity]]></title>
            <link rel="alternate" href="https://nikolays.github.io/PGSimCity/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13631"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[How PostgreSQL Works, in 3D.

 PGSimCity is an independent, non-commercial educational visualization of PostgreSQL internals. It is not affiliated with, sponsored, endorsed, or approved by Electronic Arts Inc. SimCity is a trademark of Electronic Arts Inc. 

- [PGSimCity @ GitHub](https://github.com/NikolayS/PGSimCity).]]>
            </summary>
            <updated>2026-08-14T12:17:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13620</id>
            <title type="text"><![CDATA[DiskANN]]></title>
            <link rel="alternate" href="https://github.com/microsoft/DiskANN" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13620"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A vector indexing library to bring fast, fresh and filtered search to your database.

DiskANN3 is a composable library for bringing scalable, accurate and cost-effective vector indexing to multiple databases. It draws on research from the DiskANN project.

Related contents:

- [653: Microsoft&amp;#039;s Franck Pachot @ Coder Radio](https://coder.show/653).]]>
            </summary>
            <updated>2026-08-13T06:13:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13523</id>
            <title type="text"><![CDATA[DBStan]]></title>
            <link rel="alternate" href="https://github.com/dhanikk/dbstan" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13523"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Laravel database analysis tool that inspects schema structure, indexes, and constraints to identify potential issues and enforce best practices.

The DBStan package provides detailed analysis and insights into your database schema for Laravel applications.

It helps identify structural issues, missing indexes, normalization problems, nullable column risks, foreign key inconsistencies, and performance concerns. It is an essential tool for debugging, optimizing, reviewing, and maintaining a healthy database architecture in Laravel projects.]]>
            </summary>
            <updated>2026-08-04T06:21:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13450</id>
            <title type="text"><![CDATA[StarRocks]]></title>
            <link rel="alternate" href="https://www.starrocks.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13450"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A High-Performance Analytical Database.

The world&amp;#039;s fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

- [StarRocks @ GitHub](https://github.com/StarRocks/StarRocks).]]>
            </summary>
            <updated>2026-07-29T13:40:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13431</id>
            <title type="text"><![CDATA[Chat2DB]]></title>
            <link rel="alternate" href="https://chat2db.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13431"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Text2SQL Tool for Easy Database Management.

🔥🔥🔥 AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

- [Chat2DB @ GitHub](https://github.com/OtterMind/Chat2DB).]]>
            </summary>
            <updated>2026-07-27T11:55:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13382</id>
            <title type="text"><![CDATA[EmberDB]]></title>
            <link rel="alternate" href="https://emberdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13382"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Redis-compatible distributed cache.

A low-latency, high-throughput, distributed cache. Drop-in replacement for Redis — up to 1.9x faster with p99 latency under 1.3ms.

- [EmberDB @ GitHub](https://github.com/kacy/ember).]]>
            </summary>
            <updated>2026-07-23T09:23:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13311</id>
            <title type="text"><![CDATA[YouTrackDB]]></title>
            <link rel="alternate" href="https://youtrackdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13311"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[YouTrackDB is a general-use object-oriented graph database with storage format native to handle graph relations. YouTrackDB supports Gremlin queries and ACID transactions. YTDB supports both embedded and client-server deployment models. 

- [YouTrackDB @ GitHub](https://github.com/JetBrains/youtrackdb).]]>
            </summary>
            <updated>2026-07-15T11:59:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13304</id>
            <title type="text"><![CDATA[databow]]></title>
            <link rel="alternate" href="https://docs.columnar.tech/databow/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13304"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[databow is a command-line tool for querying databases.

A command-line tool for querying databases via ADBC.

- [databow @ GitHub](https://github.com/columnar-tech/databow).]]>
            </summary>
            <updated>2026-07-15T08:43:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13273</id>
            <title type="text"><![CDATA[pgrust]]></title>
            <link rel="alternate" href="https://pgrust.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13273"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[postgres, rewritten in rust.

 Postgres rewritten in Rust, now passing 100% of the Postgres regression tests.

- [pgrust @ GitHub](https://github.com/malisper/pgrust).

Related contents:

- [The four horsemen behind thousands of Postgres outages @ malisper.me](https://malisper.me/the-four-horsemen-behind-thousands-of-postgres-outages/).
- [Rebuilding Postgres for 300x faster analytics: batching, operator fusion, and SIMD @ malisper.me](https://malisper.me/how-we-made-postgres-hundreds-of-times-faster-the-query-engine/).]]>
            </summary>
            <updated>2026-08-24T09:01:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13228</id>
            <title type="text"><![CDATA[Dqlite]]></title>
            <link rel="alternate" href="https://canonical.com/dqlite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13228"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Embeddable, replicated and fault-tolerant SQL engine. 

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. 

- [Dqlite @ GitHub](https://github.com/canonical/dqlite).

Related contents:

- [Hunting a 16-year-old SQLite bug with TLA+: is dqlite affected? @ Canonical Ubuntu Blog](https://ubuntu.com/blog/hunting-a-16-year-old-sqlite-bug-with-tla-is-dqlite-affected).]]>
            </summary>
            <updated>2026-07-06T12:03:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13201</id>
            <title type="text"><![CDATA[FoundationDB]]></title>
            <link rel="alternate" href="https://apple.github.io/foundationdb/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13201"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the open source, distributed, transactional key-value store.

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using a API language binding.

- [FoundationDB @ GitHub](https://github.com/apple/foundationdb).]]>
            </summary>
            <updated>2026-07-03T11:38:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13197</id>
            <title type="text"><![CDATA[SQL to ER Diagram]]></title>
            <link rel="alternate" href="https://sqltoerdiagram.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13197"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free Online SQL Diagram &amp;amp; ERD Generator.

 ER diagram generator. Paste CREATE TABLE statements and get a clean, interactive ERD — runs 100% in your browser, nothing uploaded 

- [SQL to ER Diagram @ GitHub](https://github.com/royalbhati/sqltoerdiagram).]]>
            </summary>
            <updated>2026-07-03T08:51:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13169</id>
            <title type="text"><![CDATA[Clonio CLI]]></title>
            <link rel="alternate" href="https://clonio.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13169"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Test with real data. Without the GDPR nightmare.
GDPR-aware database cloning for developers.

Clonio CLI clones production-like database data into development, test, staging, and CI while applying anonymization, schema sync, key remapping, and signed audit logs.

- [Clonio CLI @ GitHub](https://github.com/clonio-dev/clonio-cli).

Related contents:

- [Clonio CLI: Clone Production Databases With Anonymized Data @ Laravel News](https://laravel-news.com/clonio-cli-clone-production-databases-with-anonymized-data).]]>
            </summary>
            <updated>2026-07-01T12:18:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13159</id>
            <title type="text"><![CDATA[FokosDB]]></title>
            <link rel="alternate" href="https://github.com/lambrospetrou/fokosdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13159"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A strongly consistent bottomless storage database ontop of Cloudflare Durable Objects.

Related contents:

- [FokosDB: A strongly consistent bottomless storage database ontop of Cloudflare Durable Objects @ Lambros Petrou](https://www.lambrospetrou.com/articles/fokosdb/).]]>
            </summary>
            <updated>2026-06-30T11:41:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13109</id>
            <title type="text"><![CDATA[ClickBench]]></title>
            <link rel="alternate" href="https://benchmark.clickhouse.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13109"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a Benchmark For Analytical DBMS.

This benchmark represents typical workload in the following areas: clickstream and traffic analysis, web analytics, machine-generated data, structured logs, and events data. It covers the typical queries in ad-hoc analytics and real-time dashboards.

- [ClickBench @ GitHub](https://github.com/ClickHouse/ClickBench/).

Related contents:

- [Lies, Damn Lies and Database Benchmarks @ QuestDB](https://questdb.com/blog/lies-damn-lies-and-database-benchmarks/).]]>
            </summary>
            <updated>2026-06-25T14:44:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13053</id>
            <title type="text"><![CDATA[DBcooper]]></title>
            <link rel="alternate" href="https://dbcooper.amal.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13053"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Talk to your databases.
database client for developers.

A fast, beautiful client for PostgreSQL, SQLite, Redis &amp;amp; ClickHouse. Browse data, run SQL, visualize schemas — or just describe what you need and let AI write the query. 

- [DBcooper @ GitHub](https://github.com/amalshaji/dbcooper).]]>
            </summary>
            <updated>2026-06-18T15:33:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13025</id>
            <title type="text"><![CDATA[EXPLAIN Prettier]]></title>
            <link rel="alternate" href="https://github.com/danolivo/conf/blob/main/2026b-explain-prettier/explain-prettier.sql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13025"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[in Postgres, the EXPLAIN command produces far too much information.

 That&amp;#039;s how the idea of a post-processing for EXPLAIN output was born - to make query plans more readable and problem-focused.

Related contents:

- [EXPLAIN Prettier, or Post-Processing Query Plans in Postgres @ pgEdge](https://www.pgedge.com/blog/explain-prettier-or-post-processing-query-plans-in-postgres).]]>
            </summary>
            <updated>2026-06-15T06:22:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13021</id>
            <title type="text"><![CDATA[Tabularis]]></title>
            <link rel="alternate" href="https://tabularis.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13021"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source database client for PostgreSQL, MySQL/MariaDB and SQLite with SQL notebooks, visual EXPLAIN, AI and MCP built in. Hackable with plugins. 

Tabularis is an open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, and SQLite, with a built-in MCP server so Claude, Cursor, and Windsurf can read your schema and run queries through the same app you already use.

- [Tabularis @ GitHub](https://github.com/TabularisDB/tabularis).]]>
            </summary>
            <updated>2026-06-15T06:05:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13003</id>
            <title type="text"><![CDATA[SQL Server First Responder Kit]]></title>
            <link rel="alternate" href="https://github.com/BrentOzarULTD/SQL-Server-First-Responder-Kit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13003"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[sp_Blitz, sp_BlitzCache, sp_BlitzFirst, sp_BlitzIndex, and other SQL Server scripts for health checks and performance tuning. 

You&amp;#039;re a DBA, sysadmin, or developer who manages Microsoft SQL Servers. It&amp;#039;s your fault if they&amp;#039;re down or slow. These tools help you understand what&amp;#039;s going on in your server.]]>
            </summary>
            <updated>2026-06-12T07:42:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13002</id>
            <title type="text"><![CDATA[pgFirstAid]]></title>
            <link rel="alternate" href="https://github.com/randoneering/pgFirstAid" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13002"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy to deploy, open source, postgresql function that provides a prioritized list of actions to take to improve stability and performance. 

Related contents:

- [Episode 647: pgFirstAid with Justin Frye @ Coder Radio](https://coder.show/647).]]>
            </summary>
            <updated>2026-06-12T07:41:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/13000</id>
            <title type="text"><![CDATA[SafeAgentDB]]></title>
            <link rel="alternate" href="https://github.com/Aidan945/SafeAgentDB" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13000"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Isolated databases for every AI agent branch. Build, test, and migrate in parallel. Production stays untouched. 

Database safety infrastructure for AFK agentic development.

SafeAgentDB is built for serious vibe coders shipping real products with a team — whether your teammates are people, AI agents, or both. Once you have many branches in flight at the same time, one shared database becomes the thing everyone breaks. SafeAgentDB gives every branch and PR a live preview URL backed by its own isolated database, so agents can run migrations, hydrate realistic data, and test real app behavior without risking production, corrupting shared development data, or stepping on each other.

Built first for Supabase + Vercel + GitHub Actions, with guidance for adapting the same infrastructure pattern to other stacks.]]>
            </summary>
            <updated>2026-06-11T13:33:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12879</id>
            <title type="text"><![CDATA[Portabase]]></title>
            <link rel="alternate" href="https://portabase.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12879"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Automated Backups,
Sleep
Peacefully

A wrong query can corrupt your data in seconds.
Portabase is a 100% open-source, self-hosted solution to 
automate backups and restore your databases on demand.

- [Portabase @ GitHub](https://github.com/Portabase/portabase).

Related contents:

- [Portabase : sauvegarder plusieurs bases de données depuis un dashboard @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/services/bdd/portabase/).]]>
            </summary>
            <updated>2026-07-28T08:18:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12822</id>
            <title type="text"><![CDATA[openHare]]></title>
            <link rel="alternate" href="https://sjjian.github.io/openhare/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12822"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered desktop SQL client. Cross-platform. Built with Flutter. 

openhare is an AI-powered, cross-platform desktop SQL client with multi-database support, built for everyday development, data analysis, and DBA management workflows.

- [openHare @ GitHub](https://github.com/sjjian/openhare).

Related contents:

- [\#133 - News Juin 2026, Bun passe à Rust, npm verrouille les scripts et SEO pour l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jun26/)]]>
            </summary>
            <updated>2026-06-04T05:51:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12817</id>
            <title type="text"><![CDATA[pgsqlite]]></title>
            <link rel="alternate" href="https://github.com/erans/pgsqlite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12817"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A PostgreSQL protocol adapter for SQLite databases. This project allows PostgreSQL clients to connect to and query SQLite databases using the PostgreSQL wire protocol.]]>
            </summary>
            <updated>2026-05-22T16:14:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12816</id>
            <title type="text"><![CDATA[Antfly]]></title>
            <link rel="alternate" href="https://antfly.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12816"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The AI-native database.
Built for the data your other databases can&amp;#039;t touch.

Hybrid search. Local ML inference. Multimodal documents. One binary, zero glue code. Free to run in swarm mode, ready to scale with Antfly Cloud.

- [Antfly @ GitHub](https://github.com/antflydb/antfly).

Related contents:

- [Building a Distributed Search Engine in Pure Go @ antfly](https://antfly.io/blog/distributed-search-engine-go).]]>
            </summary>
            <updated>2026-05-22T16:12:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12651</id>
            <title type="text"><![CDATA[Pgweb]]></title>
            <link rel="alternate" href="https://sosedoff.github.io/pgweb/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12651"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Cross-platform client for PostgreSQL databases.

Pgweb is a web-based database explorer for PostgreSQL, written in Go, and works on Mac, Linux and Windows machines. Distributed as a simple binary with zero dependencies. Very easy to use and packs just the right amount of features.

- [Pgweb @ GitHub](https://github.com/sosedoff/pgweb).]]>
            </summary>
            <updated>2026-04-29T14:23:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12645</id>
            <title type="text"><![CDATA[VictoriaMetrics]]></title>
            <link rel="alternate" href="https://victoriametrics.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12645"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple &amp;amp; Reliable Monitoring for Everyone.
fast, cost-effective monitoring solution and time series database.

VictoriaMetrics is a fast, cost-effective, and scalable solution for monitoring and managing time series data. It delivers high performance and reliability, making it an ideal choice for businesses of all sizes.

- [VictoriaMetrics @ GitHub](https://github.com/VictoriaMetrics/VictoriaMetrics).]]>
            </summary>
            <updated>2026-04-29T12:03:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12605</id>
            <title type="text"><![CDATA[bbDump]]></title>
            <link rel="alternate" href="https://poups.dev/bbdump" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12605"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A desktop application for managing PostgreSQL databases —
backups, restores, scheduling, encryption, data browsing, and more. 

- [bbDump @ GitHub](https://github.com/poup-s/bbdump).

Related contents:

- [bbDump - L&amp;#039;alternative moderne à pgAdmin, sauce MCP @ Korben :fr:](https://korben.info/bbdump-lalternative-moderne-a-pgadmin-sauce-mcp.html).]]>
            </summary>
            <updated>2026-04-23T12:16:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12567</id>
            <title type="text"><![CDATA[TigerFS]]></title>
            <link rel="alternate" href="https://tigerfs.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12567"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Mount PostgreSQL as a filesystem. Build apps with files, explore databases with ls and cat. 
A filesystem backed by PostgreSQL, and a filesystem interface to PostgreSQL.

Every file is a real PostgreSQL row. Directories are tables. File contents are columns. Multiple agents and humans can read and write the same files concurrently with full ACID guarantees. No sync protocols. No coordination layer. The filesystem is the API.

TigerFS turns PostgreSQL into a transactional filesystem, either as the backend for your files or as a filesystem over your data. Agents and humans share state through files instead of sync protocols, merge workflows, or custom coordination code.

- [TigerFS @ GitHub](https://github.com/timescale/tigerfs).]]>
            </summary>
            <updated>2026-04-20T05:05:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12373</id>
            <title type="text"><![CDATA[pgmicro]]></title>
            <link rel="alternate" href="https://github.com/glommer/pgmicro" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12373"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An in-process reimplementation of PostgreSQL, backed by a SQLite-compatible storage engine.

pgmicro is built as an experimental fork of Turso — a full from-scratch rewrite of SQLite in Rust — with PostgreSQL added as a native dialect. The result is a fast, embeddable, single-file database that speaks PostgreSQL.]]>
            </summary>
            <updated>2026-03-30T13:21:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12319</id>
            <title type="text"><![CDATA[Entity-Relationship Diagram Editor]]></title>
            <link rel="alternate" href="https://erd-editor.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12319"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Entity-Relationship Diagram Editor.

- [Entity-Relationship Diagram Editor @ GitHub](https://github.com/dineug/erd-editor).]]>
            </summary>
            <updated>2026-03-28T08:15:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12311</id>
            <title type="text"><![CDATA[TablePro]]></title>
            <link rel="alternate" href="https://tablepro.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12311"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The database client Mac deserves.  Fast, native database client for Mac

Connect to MySQL, Postgres, SQLite, Mongo, Redis, and a dozen more. Built with SwiftUI. Ships under 50 MB. Launches in under a second.

- [TablePro @ GitHub](https://github.com/TableProApp/TablePro).

Related contents:

- [\#133 - News Juin 2026, Bun passe à Rust, npm verrouille les scripts et SEO pour l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-jun26/)]]>
            </summary>
            <updated>2026-06-04T05:56:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12275</id>
            <title type="text"><![CDATA[OpenData]]></title>
            <link rel="alternate" href="https://www.opendata.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Object-store native databases built on a common foundation. Simple to operate. Impossible to outgrow. 

OpenData is a collection of open source databases built on a common, object-native storage and infrastructure foundation. This shared foundation means every database has a virtually identical operational profile, which makes our database fleet materially easier and cheaper to operate than alternatives.

- [OpenData @ GitHub](https://github.com/opendata-oss/opendata).

Related contents:

- [the broken economics of databases @ bits&amp;amp;pages](https://www.bitsxpages.com/p/the-broken-economics-of-databases).]]>
            </summary>
            <updated>2026-03-24T13:28:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12163</id>
            <title type="text"><![CDATA[Oxyde ORM]]></title>
            <link rel="alternate" href="https://oxyde.fatalyst.dev/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12163"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Oxyde ORM is a type-safe, Pydantic-centric asynchronous ORM with a high-performance Rust core designed for clarity, speed, and reliability.

Inspired by the elegance of Django’s ORM, Oxyde focuses on explicitness over magic, providing a modern developer-friendly workflow with predictable behavior and strong typing throughout. 

- [Oxyde ORM @ GitHub](https://github.com/mr-fatalyst/oxyde).]]>
            </summary>
            <updated>2026-03-17T12:37:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12120</id>
            <title type="text"><![CDATA[PostgreSQL In Great STYle (PIGSTY)]]></title>
            <link rel="alternate" href="https://pigsty.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12120"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The FLOSS PG RDS.

Enterprise-Grade Open-Source PG Distribution HA, PITR, IaC, Monitor, and 460+ PG extensions.
 Enterprise-Grade OSS PostgreSQL Distribution with HA, PITR, IaC, Monitor, 12 kernel forks and 460 PG extensions. Best-of-breed products integrated as a platform. Self-host Postgres like a Pro! 

- [PIGSTY @ GitHub](https://github.com/pgsty/pigsty).

Related contents:

- [MinIO Is Dead, Long Live MinIO @ Ruohang Feng](https://blog.vonng.com/en/db/minio-resurrect/).]]>
            </summary>
            <updated>2026-03-13T15:19:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12012</id>
            <title type="text"><![CDATA[dama/doctrine-test-bundle]]></title>
            <link rel="alternate" href="https://github.com/dmaicher/doctrine-test-bundle" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12012"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Symfony bundle to isolate your app&amp;#039;s doctrine database tests and improve the test performance.

This bundle provides features that help you run your Symfony-framework-based App&amp;#039;s testsuite more efficiently with isolated tests.

It provides a StaticDriver that will wrap your originally configured Driver class (like DBAL\Driver\PDOMysql\Driver) and keeps a database connection statically in the current php process.

Related contents:

- [Testing - Resetting the Database Automatically Before each Test @ Symfony documentation](https://symfony.com/doc/current/testing.html#resetting-the-database-automatically-before-each-test).
- [Speed-up database refreshing in PHPUnit tests @ Locastic](https://locastic.com/blog/speed-up-database-refreshing-in-phpunit-tests).]]>
            </summary>
            <updated>2026-03-05T06:49:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11949</id>
            <title type="text"><![CDATA[PgBeam]]></title>
            <link rel="alternate" href="https://pgbeam.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11949"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[One global database.

A globally distributed PostgreSQL proxy that puts your data closer to your users. Connection pool, query caching, multiple regions. Just swap the connection string.

Related contents:

- [Introducing PgBeam](https://pgbeam.com/launch).]]>
            </summary>
            <updated>2026-02-27T12:38:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11898</id>
            <title type="text"><![CDATA[Bluebox]]></title>
            <link rel="alternate" href="https://github.com/ryanbooz/bluebox" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11898"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An updated sample database for PostgreSQL, building off of the Pagila database.

- [Introducing Bluebox Docker: A Living PostgreSQL Sample Database @ Software and Booz](https://www.softwareandbooz.com/introducing-bluebox-docker-a-living-postgresql-sample-database/).]]>
            </summary>
            <updated>2026-02-20T16:48:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11888</id>
            <title type="text"><![CDATA[sql-tap]]></title>
            <link rel="alternate" href="https://github.com/mickamy/sql-tap" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11888"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Watch SQL traffic in real-time with a TUI.
Real-time SQL traffic viewer — proxy daemon + TUI / Web client.

sql-tap sits between your application and your database (PostgreSQL, MySQL, or TiDB), capturing every query and displaying it in an interactive terminal UI. Inspect queries, view transactions, and run EXPLAIN — all without changing your application code. 

Related contents:

- [Newsletter du 16 Février 2026 @ Rudeops :fr:](https://www.rudeops.com/newsletter/2026-02-16-rudeops-newsletter/).]]>
            </summary>
            <updated>2026-02-20T13:35:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11879</id>
            <title type="text"><![CDATA[VillageSQL]]></title>
            <link rel="alternate" href="https://villagesql.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11879"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[VillageSQL is the Innovation Platform for MySQL.
A drop-in replacement for MySQL with extensions for the agentic AI era.

- [VillageSQL @ GitHub](https://github.com/villagesql/villagesql-server).

Related contents:

- [Introducing VillageSQL: A New Path for MySQL in the Agentic AI Era @ VillageSQL](https://villagesql.com/blog/introducing-villagesql/).
- [Roadmap: A new path for MySQL @ VillageSQL](https://villagesql.com/roadmap).
- [Extending MySQL with VillageSQL @ Max De Marzi](https://maxdemarzi.com/2026/05/21/extending-mysql-with-villagesql/).]]>
            </summary>
            <updated>2026-06-01T05:56:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11850</id>
            <title type="text"><![CDATA[Zvec]]></title>
            <link rel="alternate" href="https://zvec.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11850"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, lightning-fast, in-process vector database
High-Performance semantic search, made simple.

Zvec is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Built on Proxima (Alibaba&amp;#039;s battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with minimal setup.

- [Zvec @ GitHub](https://github.com/alibaba/zvec).

Related contents:

- [\#129 - News Mars 2026, Vite+, Void Cloud, du drama et de l&amp;#039;IA @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mars26/).]]>
            </summary>
            <updated>2026-06-19T11:35:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11821</id>
            <title type="text"><![CDATA[Postgres Locks Explained]]></title>
            <link rel="alternate" href="https://postgreslocksexplained.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11821"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres Lock Explainer.

 From the Postgres community for the Postgres community. An in-depth explainer of locks that prioritizes warm design, demos, and developer stories based on my experience as a support engineer specializing in Postgres.

- [Postgres Lock Explainer @ GitHub](https://github.com/TheOtherBrian1/Postgres_Lock_Explainer).]]>
            </summary>
            <updated>2026-02-16T06:12:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11812</id>
            <title type="text"><![CDATA[Databasement]]></title>
            <link rel="alternate" href="https://david-crty.github.io/databasement/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11812"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-hosted database backup manager for MySQL, PostgreSQL &amp;amp; MariaDB with scheduled backups, cross-server restore, and S3/SFTP storage support.

- [Databasement @ GitHub](https://github.com/David-Crty/databasement).

Related contents:

- [Best Docker Apps of January 2026 @ ServersatHome&amp;#039;s YouTube](https://www.youtube.com/watch?v=smAgwhfrYzk).]]>
            </summary>
            <updated>2026-02-13T13:57:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11743</id>
            <title type="text"><![CDATA[Ghostferry]]></title>
            <link rel="alternate" href="https://shopify.github.io/ghostferry/main/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11743"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ghostferry is a library that enables you to selectively copy data from one mysql instance to another with minimal amount of downtime.

It is inspired by Github&amp;#039;s gh-ost, although instead of copying data from and to the same database, Ghostferry copies data from one database to another and has the ability to only partially copy data.

- [Ghostferry @ GitHub](https://github.com/Shopify/ghostferry).]]>
            </summary>
            <updated>2026-02-09T06:14:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11709</id>
            <title type="text"><![CDATA[PgCat]]></title>
            <link rel="alternate" href="https://github.com/postgresml/pgcat" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11709"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Nextgen PostgreSQL Pooler.

PostgreSQL pooler and proxy (like PgBouncer) with support for sharding, load balancing, failover and mirroring.]]>
            </summary>
            <updated>2026-02-05T13:08:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11707</id>
            <title type="text"><![CDATA[sqldef]]></title>
            <link rel="alternate" href="https://sqldef.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11707"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Idempotent schema management for MySQL, PostgreSQL, SQLite, and SQL Server.

sqldef is a CLI tool for diffing two SQL schemas. You can use it to manage the migration of RDBMSs using regular SQL DDLs.

Supported databases: MySQL, MariaDB, TiDB, PostgreSQL, SQL Server, and SQLite3.

- [sqldef @ GitHub](https://github.com/sqldef/sqldef).]]>
            </summary>
            <updated>2026-02-05T12:43:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11665</id>
            <title type="text"><![CDATA[Text2SQirreL 🐿️]]></title>
            <link rel="alternate" href="https://github.com/distil-labs/distil-text2sql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11665"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Query your data in plain English.

Turn natural language questions into SQL queries with a small, local model that matches cloud LLM accuracy.

We fine-tuned a small language model to convert plain English questions into executable SQL queries. Because it&amp;#039;s small, you can run it locally on your own machine, no API keys, no cloud dependencies, full privacy. Load your CSV files, ask questions, get answers.]]>
            </summary>
            <updated>2026-02-02T06:33:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11663</id>
            <title type="text"><![CDATA[OpenEverest]]></title>
            <link rel="alternate" href="https://openeverest.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11663"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The first open-source platform for automated database provisioning and management. It supports multiple database technologies and can be hosted on any Kubernetes infrastructure, in the cloud or on-premises.

 OpenEverest is an open-source platform for automated database provisioning and management. It supports multiple database technologies and can be hosted on any Kubernetes infrastructure, in the cloud or on-premises. 

- [OpenEverest @ GitHub](https://github.com/openeverest/openeverest).

Related contents:

- [Bringing databases and Kubernetes together @ InfoWorld](https://www.infoworld.com/article/4153393/bringing-databases-and-kubernetes-together.html).]]>
            </summary>
            <updated>2026-04-10T14:17:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11648</id>
            <title type="text"><![CDATA[Memgraph]]></title>
            <link rel="alternate" href="https://memgraph.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11648"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own. 

Fastest, Most Affordable Graph Database.
Light &amp;amp; Powerful. Tuned for Dynamic Analytics Environments. Easy to Adopt, Scale and Own.
Now with Vector Search.

Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you&amp;#039;re a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

- [Memgraph @ GitHub](https://github.com/memgraph/memgraph).]]>
            </summary>
            <updated>2026-01-30T10:38:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11609</id>
            <title type="text"><![CDATA[DBHub]]></title>
            <link rel="alternate" href="https://dbhub.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11609"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Minimal Database MCP Server.

DBHub is a zero-dependency, token efficient MCP server implementing the Model Context Protocol server interface. This lightweight gateway allows MCP-compatible clients to connect to and explore different databases.

- [DBHub @ GitHub](https://github.com/bytebase/dbhub).]]>
            </summary>
            <updated>2026-01-26T11:01:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11448</id>
            <title type="text"><![CDATA[Zedis]]></title>
            <link rel="alternate" href="https://github.com/vicanso/zedis" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11448"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A High-Performance, GPU-Accelerated Redis Client Built with Rust 🦀 and GPUI ⚡️

Zedis is a next-generation Redis GUI client designed for developers who demand speed.]]>
            </summary>
            <updated>2026-01-13T06:50:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11423</id>
            <title type="text"><![CDATA[pgmetrics]]></title>
            <link rel="alternate" href="https://pgmetrics.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11423"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easily collect and report PostgreSQL metrics for scripting, automation and troubleshooting.

pgmetrics is an open-source, zero-dependency, single-binary tool that can collect 350+ metrics from a running PostgreSQL server and display it in easy-to-read text format or export it as JSON and CSV for scripting.

- [pgmetrics @ GitHub](https://github.com/rapidloop/pgmetrics).

Related contents:

- [Introducing pgX: Bridging the Gap Between Database and Application Monitoring for PostgreSQL @ base14](https://docs.base14.io/blog/introducing-pgx/).]]>
            </summary>
            <updated>2026-01-09T13:54:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11354</id>
            <title type="text"><![CDATA[SeaQuery]]></title>
            <link rel="alternate" href="https://www.sea-ql.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11354"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🔱 A dynamic SQL query builder for MySQL, Postgres and SQLite.

SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, Postgres and SQLite behind a common interface that aligns their behaviour where appropriate. MS SQL Server Support is available under SeaORM X.

- [SeaQuery @ GitHub](https://github.com/SeaQL/sea-query).]]>
            </summary>
            <updated>2026-01-05T07:08:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11353</id>
            <title type="text"><![CDATA[Kysely]]></title>
            <link rel="alternate" href="https://kysely.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11353"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The type-safe SQL query builder for TypeScript.

Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly TypeScript SQL query builder. Inspired by Knex.js. Mainly developed for Node.js but also runs on all other JavaScript environments like Deno, Bun, Cloudflare Workers and web browsers.

- [Kysely @ GitHub](https://github.com/kysely-org/kysely).

Related contents:

- [AI Is Forcing Us To Write Good Code @ Bits of Logic](https://bits.logic.inc/p/ai-is-forcing-us-to-write-good-code).]]>
            </summary>
            <updated>2026-01-05T07:05:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11265</id>
            <title type="text"><![CDATA[sqlit]]></title>
            <link rel="alternate" href="https://github.com/Maxteabag/sqlit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11265"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A user friendly TUI for SQL databases. Written in python. Supports SQL server, Mysql, PostreSQL and SQLite, Turso and more. 

The lazygit of SQL databases. Connect to Postgres, MySQL, SQL Server, SQLite, Supabase, Turso, and more from your terminal in seconds.

Related contents:

- [sqlit - Quand y&amp;#039;en a marre de lancer SQL Server Management Studio pour une requête @ Korben :fr:](https://korben.info/sqlit-tui-sql-terminal-databases.html).]]>
            </summary>
            <updated>2025-12-22T08:34:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11247</id>
            <title type="text"><![CDATA[🐘 Formation Complète PostgreSQL 18 :fr:]]></title>
            <link rel="alternate" href="https://github.com/NDXDeveloper/formation-postgresql-18" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11247"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Un parcours théorique complet pour découvrir, comprendre et approfondir PostgreSQL 18, des fondamentaux à la production.]]>
            </summary>
            <updated>2025-12-16T08:02:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11231</id>
            <title type="text"><![CDATA[Stoolap]]></title>
            <link rel="alternate" href="https://stoolap.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11231"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High-performance embedded SQL database in Rust.
A Modern Embedded SQL Database in Pure Rust.

Full ACID transactions with MVCC, cost-based query optimizer, multiple index types (B-tree, Hash, Bitmap), parallel execution, and minimal unsafe code.

- [Stoolap @ GitHub](https://github.com/stoolap/stoolap).]]>
            </summary>
            <updated>2025-12-15T06:55:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11218</id>
            <title type="text"><![CDATA[Orange ORM]]></title>
            <link rel="alternate" href="https://orange-orm.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11218"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The ultimate Object Relational Mapper for Node.js, Bun and Deno, offering seamless integration with a variety of popular databases. Orange ORM supports both TypeScript and JavaScript, including both CommonJS and ECMAScript.

- [Orange ORM @ GitHub](https://github.com/alfateam/orange-orm).]]>
            </summary>
            <updated>2025-12-12T07:35:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11186</id>
            <title type="text"><![CDATA[Readyset]]></title>
            <link rel="alternate" href="https://readyset.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11186"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Drop-in SQL Caching for PostgreSQL and MySQL.

 Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes. 

- [Readyset @ GitHub](https://github.com/readysettech/readyset).

Related contents:

- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).]]>
            </summary>
            <updated>2025-12-08T13:44:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11185</id>
            <title type="text"><![CDATA[Feldera]]></title>
            <link rel="alternate" href="https://www.feldera.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11185"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The incremental computing engine for AI, ML and data teams.

 Feldera is a fast query engine for incremental computation. Feldera has the unique ability to evaluate arbitrary SQL programs incrementally, making it more powerful, expressive and performant than existing alternatives like batch engines, warehouses, stream processors or streaming databases. 

- [Feldera @ GitHub](https://github.com/feldera/feldera).

Related contents:

- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).]]>
            </summary>
            <updated>2025-12-08T13:42:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11184</id>
            <title type="text"><![CDATA[pg_ivm]]></title>
            <link rel="alternate" href="https://github.com/sraoss/pg_ivm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11184"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[IVM (Incremental View Maintenance) implementation as a PostgreSQL extension

Incremental View Maintenance (IVM) is a way to make materialized views up-to-date in which only incremental changes are computed and applied on views rather than recomputing the contents from scratch as REFRESH MATERIALIZED VIEW does. IVM can update materialized views more efficiently than recomputation when only small parts of the view are changed.

Related contents:

- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).]]>
            </summary>
            <updated>2025-12-08T13:41:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11183</id>
            <title type="text"><![CDATA[data-peek]]></title>
            <link rel="alternate" href="https://www.datapeek.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11183"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast PostgreSQL Client for Developers.

A minimal, fast SQL client desktop application with AI-powered querying. Built for developers who want to quickly peek at their data without the bloat. Supports PostgreSQL, MySQL, and Microsoft SQL Server.

- [data-peek @ GitHub](https://github.com/Rohithgilla12/data-peek).]]>
            </summary>
            <updated>2025-12-08T13:01:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11163</id>
            <title type="text"><![CDATA[TDengine]]></title>
            <link rel="alternate" href="https://tdengine.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11163"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-Driven Data Platform for the Industrial IoT.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios.

TDengine is an open source, high-performance, cloud native and AI powered time-series database designed for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and analysis of TB and even PB scale data per day, generated by billions of sensors and data collectors.

- [TDengine @ GitHub](https://github.com/taosdata/TDengine).]]>
            </summary>
            <updated>2025-12-05T10:10:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10983</id>
            <title type="text"><![CDATA[RegreSQL]]></title>
            <link rel="alternate" href="https://github.com/boringSQL/regresql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10983"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Regression Testing your SQL queries.

The regresql tool implement a regression testing facility for SQL queries, and supports the PostgreSQL database system. A regression test allows to ensure known results when the code is edited.

Related contents:

- [RegreSQL: Regression Testing for PostgreSQL Queries @ boring SQL](https://boringsql.com/posts/regresql-testing-queries/).]]>
            </summary>
            <updated>2025-11-17T06:11:55+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10951</id>
            <title type="text"><![CDATA[MariaDB]]></title>
            <link rel="alternate" href="https://mariadb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10951"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. 

- [MariaDB server @ GitHub](https://github.com/MariaDB/server).

Related contents:

- [SQL performance improvements: finding the right queries to fix (part 1) @ oh dear](https://ohdear.app/news-and-updates/sql-performance-improvements-finding-the-right-queries-to-fix-part-1).
- [Stop using MySQL in 2026, it is not true open source @ Optimized by Otto](https://optimizedbyotto.com/post/reasons-to-stop-using-mysql/).
- [Does MariaDB Depend on MySQL? @ HackerNoon](https://hackernoon.com/does-mariadb-depend-on-mysql).
- [Mariabackup : sauvegarder à chaud les bases de données MariaDB @ IT-Connect :fr:](https://www.it-connect.fr/mariabackup-sauvegarder-a-chaud-les-bases-de-donnees-mariadb/).
- [\#156.src - Maria DB: MariaDB, du serveur primaire au sharding avec Sylvain Arbaudie  @ ifttd :fr:](https://www.ifttd.io/episodes/maria-db).
- [How To Work with JSON in MySQL @ DigitalOcean](https://www.digitalocean.com/community/tutorials/working-with-json-in-mysql).
- [Repeatable Read vs Snapshot Isolation @ jaymcor.github.io](https://jaymcor.github.io/notes/isolation_rr_si.html).]]>
            </summary>
            <updated>2026-07-20T12:06:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10950</id>
            <title type="text"><![CDATA[Bytebase]]></title>
            <link rel="alternate" href="https://www.bytebase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10950"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database DevSecOps.

Bytebase is an open-source database DevOps tool, it&amp;#039;s the only database CI/CD project included by the CNCF Landscape and Platform Engineering.
It offers a web-based collaboration workspace to help DBAs and Developers manage the lifecycle of application database schemas.

- [Bytebase @ GitHub](https://github.com/bytebase/bytebase).

Related contents:

- [Digest \#187: AWS Alternatives, AI-Driven DevOps, Airbnb Runs Kubernetes at Scale and Terraform Drift Detection @ DevOps Bulletin](https://www.devopsbulletin.com/p/digest-187-aws-alternatives-ai-driven).]]>
            </summary>
            <updated>2025-11-13T06:41:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10928</id>
            <title type="text"><![CDATA[UnisonDB]]></title>
            <link rel="alternate" href="https://unisondb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10928"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Log-Native, Real-Time Database for AI and Edge Computing.
A streaming multimodal database for Edge AI, and Edge Computing. 

UnisonDB is an open-source database designed specifically for Edge AI and Edge Computing .
It is a reactive, log-native and multi-model database built for real-time and edge-scale applications. UnisonDB combines a B+Tree storage engine with WAL-based (Write-Ahead Logging ) streaming replication, enabling near-instant fan-out replication across hundreds of nodes — all while preserving strong consistency and durability.

- [UnisonDB @ GitHub](https://github.com/ankur-anand/unisondb).]]>
            </summary>
            <updated>2025-11-12T08:02:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10904</id>
            <title type="text"><![CDATA[Databasus]]></title>
            <link rel="alternate" href="https://databasus.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10904"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL backup tool

Databasus is a free, open source and self-hosted tool to backup PostgreSQL. Make backups with different storages (S3, Google Drive, FTP, etc.) and notifications about progress (Slack, Discord, Telegram, etc.). MySQL, MariaDB and MongoDB are supported too

- [Databasus @ GitHub](https://github.com/databasus/databasus).]]>
            </summary>
            <updated>2025-12-29T12:53:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10882</id>
            <title type="text"><![CDATA[MikroORM]]></title>
            <link rel="alternate" href="https://mikro-orm.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10882"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns.
Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases. 

- [MikroORM @ GitHub](https://github.com/mikro-orm/mikro-orm).

Related contents:

- [Why we migrated from Python to Node.js @ yakko&amp;#039;s blog](https://blog.yakkomajuri.com/blog/python-to-node).]]>
            </summary>
            <updated>2025-11-04T12:55:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10875</id>
            <title type="text"><![CDATA[DbGate]]></title>
            <link rel="alternate" href="https://www.dbgate.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10875"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQL &amp;amp; noSQL database manager.

Powerful and easy to use (no)SQL database client for MySQL, PostgreSQL, Oracle, SQL Server, SQLite, MongoDB, Redis, …

DbGate is cross-platform database manager. It&amp;#039;s designed to be simple to use and effective, when working with more databases simultaneously. But there are also many advanced features like schema compare, visual query designer, chart visualisation or batch export and import.

- [DbGate @ GitHub](https://github.com/dbgate/dbgate).]]>
            </summary>
            <updated>2025-11-04T09:26:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10808</id>
            <title type="text"><![CDATA[Apache Calcite]]></title>
            <link rel="alternate" href="https://calcite.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10808"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Dynamic data management framework.
The foundation for your next high-performance database.

It contains many of the pieces that comprise a typical database management system but omits the storage primitives. It provides an industry standard SQL parser and validator, a customisable optimizer with pluggable rules and cost functions, logical and physical algebraic operators, various transformation algorithms from SQL to algebra (and the opposite), and many adapters for executing SQL queries over Cassandra, Druid, Elasticsearch, MongoDB, Kafka, and others, with minimal configuration.

- [Apache Calcite @ GitHub](https://github.com/apache/calcite).

Related contents:

- [Reimagining log analytics for the modern enterprise @ OpenSearch](https://opensearch.org/blog/reimagining-log-analytics-for-the-modern-enterprise/).]]>
            </summary>
            <updated>2025-10-29T12:43:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10788</id>
            <title type="text"><![CDATA[SierraDB]]></title>
            <link rel="alternate" href="https://github.com/sierra-db/sierradb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10788"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The immutable database for events.
A high-performance, distributed event store designed for scalable event sourcing applications

SierraDB is a modern, horizontally-scalable database specifically built for event sourcing workloads. It combines the simplicity of Redis protocol compatibility with the distributed architecture principles of Cassandra/ScyllaDB, providing developers with a powerful foundation for building event-driven systems.]]>
            </summary>
            <updated>2025-10-27T15:36:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10764</id>
            <title type="text"><![CDATA[MMKV]]></title>
            <link rel="alternate" href="https://github.com/Tencent/MMKV" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10764"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, POSIX, and OHOS.

MMKV is an efficient, small, easy-to-use mobile key-value storage framework used in the WeChat application. It&amp;#039;s currently available on Android, iOS/macOS, Windows, POSIX and HarmonyOS NEXT.]]>
            </summary>
            <updated>2025-10-23T11:53:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10736</id>
            <title type="text"><![CDATA[Duck-UI]]></title>
            <link rel="alternate" href="https://duckui.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10736"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data is better when we see it!

Duck-UI makes working with data easy. Run SQL queries directly in your browser with DuckDB WASM - no server required!

 Duck-UI is a web-based interface for interacting with DuckDB, a high-performance analytical database system. It features a SQL editor, data import/export, data explorer, query history, theme toggle, and keyboard shortcuts, all running seamlessly in the browser using DuckDB&amp;#039;s WebAssembly (WASM) capabilities. 

- [Duck-UI @ GitHub](https://github.com/ibero-data/duck-ui).]]>
            </summary>
            <updated>2025-10-20T12:12:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10728</id>
            <title type="text"><![CDATA[GoBackup]]></title>
            <link rel="alternate" href="https://gobackup.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10728"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🗄 CLI tool for backup your databases, files to cloud storages in schedully. 

GoBackup is a backup tool design for application servers, to backup your databases, files to cloud storages (FTP, SCP, S3, GCS, Aliyun OSS ...) in schedully.

- [GoBackup @ GitHub](https://github.com/gobackup/gobackup).

Related contents:

- [GoBackup - Pour sauvegarder vos bases de données facilement @ Korben :fr:](https://korben.info/installation.html).]]>
            </summary>
            <updated>2025-10-20T09:35:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10723</id>
            <title type="text"><![CDATA[PGWatch]]></title>
            <link rel="alternate" href="https://pgwatch.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10723"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Optimized PostgreSQL monitoring.

- [PGWatch @ GitHub](https://github.com/cybertec-postgresql/pgwatch/).

Related contents:

- [Scaling PostgreSQL Monitoring at Trendyol: Our Journey with pgwatch @ Selim&amp;#039;s Medium](https://medium.com/trendyol-tech/scaling-postgresql-monitoring-at-trendyol-our-journey-with-pgwatch-1556faa81d24).]]>
            </summary>
            <updated>2025-10-20T06:45:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10643</id>
            <title type="text"><![CDATA[Onedump]]></title>
            <link rel="alternate" href="https://github.com/liweiyi88/onedump" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10643"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Effortless database administration tool.

Onedump is a database administration tool that streamlines backup and restore tasks across multiple databases and storage destinations.]]>
            </summary>
            <updated>2025-10-14T05:47:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10555</id>
            <title type="text"><![CDATA[Litestream]]></title>
            <link rel="alternate" href="https://litestream.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10555"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Streaming SQLite Replication.

Stop building slow, complex, fragile software systems. Safely run your application on a single server. 

Litestream is a standalone disaster recovery tool for SQLite. It runs as a background process and safely replicates changes incrementally to another file or S3. Litestream only communicates with SQLite through the SQLite API so it will not corrupt your database.

- [Litestream @ GitHub](https://github.com/benbjohnson/litestream).

Related contents:

- [Litestream v0.5.0 is Here @ Fly.io blog](https://fly.io/blog/litestream-v050-is-here/).
- [SQLite is All You Need for Durable Workflows @ Obelisk](https://obeli.sk/blog/sqlite-is-all-you-need-for-durable-workflows/).]]>
            </summary>
            <updated>2026-06-04T13:16:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10487</id>
            <title type="text"><![CDATA[Gel]]></title>
            <link rel="alternate" href="https://www.geldata.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10487"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres is the endgame database. Gel supercharges it with a modern data model, graph queries, Auth &amp;amp; AI solutions, and much more.

Gel is a new kind of database that takes the best parts of relational databases, graph databases, and ORMs. We call it a graph-relational database. 

- [Gel @ GitHub](https://github.com/geldata/gel).

Related contents:

- [\#118 - Les news sur le développement web et l&amp;#039;IA pour septembre 2025 RC1 @ Double Slash :fr:](https://double-slash.dev/podcasts/sept25-rc1/).]]>
            </summary>
            <updated>2025-10-02T05:41:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10486</id>
            <title type="text"><![CDATA[Diesel]]></title>
            <link rel="alternate" href="https://diesel.rs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10486"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Diesel is a Safe, Extensible ORM and Query Builder for Rust.

Diesel is the most productive way to interact with databases in Rust because of its safe and composable abstractions over queries.

- [Diesel @ GitHub](https://github.com/diesel-rs/diesel).]]>
            </summary>
            <updated>2025-10-01T18:57:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10463</id>
            <title type="text"><![CDATA[PostgreSQL Migrator]]></title>
            <link rel="alternate" href="https://postgresql-migrator.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10463"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐦‍🔥 Modernize your database by moving to PostgreSQL.

- [PostgreSQL Migrator @ GitLab](https://gitlab.com/dalibo/pg_migrate).

Related contents:

- [PostgreSQL Migrator 1.0 en bêta @ Dalibo blog :fr:](https://blog.dalibo.com/2025/09/29/postgresql-migrator-beta.html).]]>
            </summary>
            <updated>2025-09-30T06:35:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10459</id>
            <title type="text"><![CDATA[SQLite Sync]]></title>
            <link rel="alternate" href="https://www.sqlite.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10459"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Smart Edge Databases with Cloud Sync and Intelligence.

 SQLiteSync is a local-first SQLite extension using CRDTs for seamless, conflict-free data sync and real-time collaboration across devices. 

- [SQLiteSync @ GitHub](https://github.com/sqliteai/sqlite-sync).

Related contents:

- [Why Local-First Apps Haven’t Become Popular? @ Marco Bambini&amp;#039;s Substack](https://marcobambini.substack.com/p/why-local-first-apps-havent-become).
- [SQLite AI Revolution: On-Device ML and SQL Vector Search @ WebProNews](https://www.webpronews.com/sqlite-ai-revolution-on-device-ml-and-sql-vector-search/).]]>
            </summary>
            <updated>2026-01-05T07:50:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10422</id>
            <title type="text"><![CDATA[🚀 Lingo Database]]></title>
            <link rel="alternate" href="https://github.com/RobAntunes/lingodb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10422"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The SQLite of Semantic Search .
Revolutionary 3D Spatial Linguistic Database.

Discover hidden connections in language through geometric intelligence]]>
            </summary>
            <updated>2025-09-29T05:49:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10411</id>
            <title type="text"><![CDATA[Zedis]]></title>
            <link rel="alternate" href="https://github.com/barddoo/zedis" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10411"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Redis in Zig.

A Redis-compatible in-memory data store written in Zig, designed for learning and experimentation. Zedis implements the core Redis protocol and data structures with a focus on simplicity, performance, and thread safety.]]>
            </summary>
            <updated>2025-09-26T13:01:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10403</id>
            <title type="text"><![CDATA[Doctrine]]></title>
            <link rel="alternate" href="https://www.doctrine-project.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10403"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Doctrine Project is the home to several PHP libraries primarily focused on database storage and object mapping.

Related contents:

- [Domain specific language versus design patterns @  david duymelinck&amp;#039;s dev.to](https://dev.to/xwero/domain-specific-language-versus-design-patterns-23p4).
- [Your ORM Is Lying to You (And You&amp;#039;re Paying for It) @ HackerNoon](https://hackernoon.com/your-orm-is-lying-to-you-and-youre-paying-for-it).]]>
            </summary>
            <updated>2026-03-13T12:49:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10396</id>
            <title type="text"><![CDATA[SedonaDB]]></title>
            <link rel="alternate" href="https://sedona.apache.org/sedonadb/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SedonaDB is an open-source single-node analytical database engine with geospatial as a first-class citizen. It aims to deliver the fastest spatial analytics query speed and the most comprehensive function coverage available.

- [SedonaDB @ GitHub](https://github.com/apache/sedona-db).

Related contents:

- [Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen @ Apache Sedona](https://sedona.apache.org/latest/blog/2025/09/24/introducing-sedonadb-a-single-node-analytical-database-engine-with-geospatial-as-a-first-class-citizen/).]]>
            </summary>
            <updated>2025-10-03T11:20:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10333</id>
            <title type="text"><![CDATA[Backup Guardian]]></title>
            <link rel="alternate" href="https://www.backupguardian.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10333"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Validate database backup files before migration to prevent costly failures.

BackupGuardian is a comprehensive tool for validating database backup files through deep structural analysis and integrity checking. Get confidence in your migrations before they matter.

- [Backup Guardian @ GitHub](https://github.com/pasika26/backupguardian).]]>
            </summary>
            <updated>2025-09-22T06:50:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10268</id>
            <title type="text"><![CDATA[UUIDv47]]></title>
            <link rel="alternate" href="https://github.com/stateless-me/uuidv47" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10268"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[⚡ UUIDv47 = v4 privacy + v7 performance 
UUIDv7-in / UUIDv4-out (SipHash-masked timestamp).

uuidv47 lets you store sortable UUIDv7 in your database while emitting a UUIDv4-looking façade at your API boundary. It does this by XOR-masking only the UUIDv7 timestamp field with a keyed SipHash-2-4 stream tied to the UUID’s own random bits.]]>
            </summary>
            <updated>2025-09-18T11:22:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10212</id>
            <title type="text"><![CDATA[pg_duckdb]]></title>
            <link rel="alternate" href="https://github.com/duckdb/pg_duckdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10212"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DuckDB-powered Postgres for high performance apps &amp;amp; analytics. :

pg_duckdb integrates DuckDB&amp;#039;s columnar-vectorized analytics engine into PostgreSQL, enabling high-performance analytics and data-intensive applications.

Related contents:

- [Announcing Pg_duckdb Version 1.0 @ MotherDuck](https://motherduck.com/blog/pg-duckdb-release/).]]>
            </summary>
            <updated>2025-09-15T13:36:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10211</id>
            <title type="text"><![CDATA[pgFormatter]]></title>
            <link rel="alternate" href="https://sqlformat.darold.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10211"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A PostgreSQL SQL syntax beautifier that can work as a console program or as a CGI. 

This SQL formatter/beautifier supports keywords from SQL-92, SQL-99, SQL-2003, SQL-2008, SQL-2011 and PostgreSQL specifics keywords. Works with any other databases too.

- [pgFormatter @ GitHub](https://github.com/darold/pgFormatter).]]>
            </summary>
            <updated>2025-09-15T13:34:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10210</id>
            <title type="text"><![CDATA[pgroll]]></title>
            <link rel="alternate" href="https://pgroll.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10210"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Take the fear out of schema changes.
Zero-downtime, reversible, schema changes for PostgreSQL.

Update your PostgreSQL schema without downtime or complex rollbacks. pgroll automates data backfills and simultaneously supports old and new schemas as you roll out your application.

- [pgroll @ GitHub](https://github.com/xataio/pgroll).]]>
            </summary>
            <updated>2025-09-15T13:32:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10166</id>
            <title type="text"><![CDATA[pgEdge]]></title>
            <link rel="alternate" href="https://www.pgedge.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10166"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pgEdge is the open source Enterprise Postgres company.

pgEdge delivers PostgreSQL solutions for maximum high availability, ultra-low latency, zero downtime maintenance, and data residency across deployment options and cloud regions. Single instances can be scaled up to active-active (multi-master) distributed deployments in a matter of minutes, giving you the freedom and flexibility to shift your data needs for your business instantly.

- [pgEdge @ GitHub](https://github.com/pgedge).

Related contents:

- [pgEdge goes Open Source @ pgEdge](https://www.pgedge.com/blog/pgedge-goes-open-source).]]>
            </summary>
            <updated>2025-09-12T12:29:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10133</id>
            <title type="text"><![CDATA[TanStack DB]]></title>
            <link rel="alternate" href="https://tanstack.com/db/latest" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10133"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A reactive client store for building super fast apps on sync

TanStack DB extends TanStack Query with collections, live queries and optimistic mutations that keep your UI reactive, consistent and blazing fast 🔥

- [TanStack DB @ GitHub](https://github.com/TanStack/db).

Related contents:

- [An Interactive Guide to TanStack DB @ Frontend at Scale](https://frontendatscale.com/blog/tanstack-db/).]]>
            </summary>
            <updated>2025-09-11T12:05:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10080</id>
            <title type="text"><![CDATA[Redis]]></title>
            <link rel="alternate" href="https://redis.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10080"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Real-time Data Platform.

- [Redis @ GitHub](https://github.com/redis/redis)

Related contents:

- [How In-Memory Caching Works in Redis @ freeCodeCamp](https://www.freecodecamp.org/news/how-in-memory-caching-works-in-redis).
- [Setup Redis Standalone with JSON and Search Modules on AKS with Binami Redis Using Custom Image to Allow Local Development @ Chaminda&amp;#039;s DevOps Journey with MSFT](https://chamindac.blogspot.com/2025/09/2-setup-redis-standalone-with-json-and.html).
- [Episode #18: NoSQL Smackdown! @ Changelog Interviews](https://changelog.com/podcast/18).
- [Redis Cluster Mode Explained: Complete Guide to Sharding &amp;amp; Hash Slots @ System Design Lab&amp;#039;s YouTube](https://www.youtube.com/watch?v=0G5_w2lX02o).]]>
            </summary>
            <updated>2026-08-03T06:26:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10026</id>
            <title type="text"><![CDATA[Base]]></title>
            <link rel="alternate" href="https://menial.co.uk/base/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10026"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The best SQLite database editor for macOS

Base is a small, powerful, comfortable SQLite editor for everyone]]>
            </summary>
            <updated>2025-09-05T04:16:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/49</id>
            <title type="text"><![CDATA[wa-sqlite]]></title>
            <link rel="alternate" href="https://github.com/rhashimoto/wa-sqlite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/49"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[WebAssembly SQLite with support for browser storage extensions.

This is a WebAssembly build of SQLite with support for writing SQLite virtual filesystems completely in Javascript. This allows alternative browser storage options such as IndexedDB and Origin Private File System. Applications can opt to use either a synchronous or asynchronous (using Asyncify or JSPI) SQLite library build (an asynchronous build is required for asynchronous extensions).

Related contents:

- [Lessons learned from building a sync-engine and reactivity system with SQLite @ Antoine&amp;#039;s blog](https://www.finkelstein.fr/sqlite-sync-engine-with-reactivity).]]>
            </summary>
            <updated>2025-09-04T08:40:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/66</id>
            <title type="text"><![CDATA[DataPup]]></title>
            <link rel="alternate" href="https://github.com/DataPupOrg/DataPup" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/66"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A modern, AI-assisted, cross-platform database client.

DataPup is an open-source database client designed to make database management intuitive and enjoyable. With AI-powered query assistance and a beautiful, accessible interface, it&amp;#039;s the database tool that developers actually want to use.]]>
            </summary>
            <updated>2025-09-17T07:07:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/169</id>
            <title type="text"><![CDATA[pgline]]></title>
            <link rel="alternate" href="https://github.com/stanNthe5/pgline" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/169"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fastest PostgreSQL JS driver written in TypeScript.

A PostgreSQL driver for Node.js written in TypeScript. It fully implements Pipeline Mode. Pgline delivers exceptionally high performance in concurrent queries. It offers faster speed and lower database CPU usage.]]>
            </summary>
            <updated>2025-10-29T14:30:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/266</id>
            <title type="text"><![CDATA[Multigres]]></title>
            <link rel="alternate" href="https://multigres.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/266"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A horizontally scalable Postgres architecture that supports multi-tenant, highly-available and globally distributed deployments, all while staying true to standard Postgres.

Multigres is a project to build an adaptation of Vitess for Postgres.

- [Multigres @ GitHub](https://github.com/multigres/multigres).

Related contents:

- [Episode \#651: Bringing Vitess to Postgres @ Changelog Interviews](https://changelog.com/podcast/651).]]>
            </summary>
            <updated>2025-11-12T16:24:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/278</id>
            <title type="text"><![CDATA[BenchBase]]></title>
            <link rel="alternate" href="https://db.cs.cmu.edu/projects/benchbase/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/278"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Multi-DBMS SQL Benchmarking Framework via JDBC.

BenchBase (formerly OLTPBench) is a Multi-DBMS SQL Benchmarking Framework via JDBC.

- [BenchBase @ GitHub](https://github.com/cmu-db/benchbase).

Related contents:

- [Making Postgres 42,000x slower because I am unemployed @ ByteofDev](https://byteofdev.com/posts/making-postgres-slow/).]]>
            </summary>
            <updated>2025-12-31T08:19:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/318</id>
            <title type="text"><![CDATA[Pogocache]]></title>
            <link rel="alternate" href="https://pogocache.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/318"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast caching software with a focus on low latency and cpu efficiency. 

Pogocache is fast caching software built from scratch with a focus on low latency and cpu efficency.

Faster: Pogocache is faster than Memcache, Valkey, Redis, Dragonfly, and Garnet. It has the lowest latency per request, providing the quickest response times. It&amp;#039;s optimized to scale from one to many cores, giving you the best single-threaded and multithreaded performance.

- [Pogocache @ GitHub](https://github.com/tidwall/pogocache).]]>
            </summary>
            <updated>2026-01-20T15:24:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/342</id>
            <title type="text"><![CDATA[ScyllaDB]]></title>
            <link rel="alternate" href="https://www.scylladb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/342"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Monstrously Fast + Scalable NoSQL.

 NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB 

- [ScyllaDB @ GitHub](https://github.com/scylladb/scylladb).

Related contents:

- [How Discord Stores Trillions of Messages with High Performance @ ByteByteGo Newsletter](https://blog.bytebytego.com/p/how-discord-stores-trillions-of-messages).
- [How Discord Automates ScyllaDB Clusters at Scale @ Discord](https://discord.com/blog/how-discord-automates-scylladb-clusters-at-scale).]]>
            </summary>
            <updated>2026-05-14T19:49:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/350</id>
            <title type="text"><![CDATA[pgactive]]></title>
            <link rel="alternate" href="https://github.com/aws/pgactive" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/350"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pgactive is a PostgreSQL replication extension for creating an active-active database.]]>
            </summary>
            <updated>2026-01-23T15:18:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/417</id>
            <title type="text"><![CDATA[Weaviate]]></title>
            <link rel="alternate" href="https://weaviate.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/417"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

- [Weaviate @ GitHub](https://github.com/weaviate/weaviate).

Related contents:

- [37 Things I Learned About Information Retrieval in Two Years at a Vector Database Company @ Leonie Monigatti](https://www.leoniemonigatti.com/blog/what_i_learned.html).]]>
            </summary>
            <updated>2025-08-28T17:06:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/418</id>
            <title type="text"><![CDATA[pgstream]]></title>
            <link rel="alternate" href="https://github.com/xataio/pgstream" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/418"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL replication with DDL changes.

pgstream is an open source CDC command-line tool and library that offers Postgres replication support with DDL changes to any provided target.

Related contents:

- [Behind the scenes: Speeding up pgstream snapshots for PostgreSQL @ xata](https://xata.io/blog/behind-the-scenes-speeding-up-pgstream-snapshots-for-postgresql).]]>
            </summary>
            <updated>2025-08-28T17:07:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/461</id>
            <title type="text"><![CDATA[ZeQL+]]></title>
            <link rel="alternate" href="https://zeqlplus.zetlo.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/461"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Terminal SQLite Database Browser.

- [ZeQL+ @ GitHub](https://github.com/ZetloStudio/ZeQLplus).]]>
            </summary>
            <updated>2025-08-28T17:14:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/466</id>
            <title type="text"><![CDATA[Sirius]]></title>
            <link rel="alternate" href="https://github.com/sirius-db/sirius" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/466"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sirius is a GPU-native SQL engine. It plugs into existing databases such as DuckDB via the standard Substrait query format, requiring no query rewrites or major system changes. Sirius currently supports DuckDB and Doris (coming soon), other systems marked with * are on our roadmap.]]>
            </summary>
            <updated>2025-08-28T17:14:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/507</id>
            <title type="text"><![CDATA[SnapQL]]></title>
            <link rel="alternate" href="https://github.com/NickTikhonov/snap-ql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/507"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI-powered Postgres Client.
cursor for data ⚡️ - explore your postgresql db in seconds.]]>
            </summary>
            <updated>2025-08-28T17:22:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/564</id>
            <title type="text"><![CDATA[WildcatDB]]></title>
            <link rel="alternate" href="https://wildcatdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/564"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[High-Performance Embedded Key-Value Database.
 Open-source storage engine for highly concurrent, transactional log-structured key-value storage. 

 LSM-tree architecture with MVCC, lock-free concurrency, and ACID transactions. Built for modern applications that demand both performance and reliability. 

Wildcat is a high-performance embedded key-value database (or storage engine) written in Go with C interoptibility. It incorporates modern database design principles including LSM (Log-Structured Merge) tree architecture, MVCC (Multi-Version Concurrency Control), and lock-free data structures for its critical paths, along with automatic background operations to deliver excellent read/write performance with immediate consistency and durability.

- [WildcatDB @ GitHub](https://github.com/wildcatdb/wildcat).]]>
            </summary>
            <updated>2025-08-28T17:32:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/597</id>
            <title type="text"><![CDATA[Neon]]></title>
            <link rel="alternate" href="https://neon.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/597"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero. 

Neon is a serverless Postgres platform designed to help you build reliable and scalable applications faster. We separate compute and storage to offer modern developer features such as autoscaling, branching, instant restore, and more.

- [Neon @ GitHub](https://github.com/neondatabase/neon).

Related contents:

- [Episode \#651: Bringing Vitess to Postgres @ Changelog Interviews](https://changelog.com/podcast/651).
- [The $0 Infrastructure: Launching a Rails SaaS for Free in 2026 @ Zil Norvilis](https://dev.to/zilton7/the-0-infrastructure-launching-a-rails-saas-for-free-in-2026-1jd6).
- [Rust is slowly but surely eating PostgreSQL: Deep dive into Neon, ParadeDB, PgDog and more @ Sylvain Kerkour](https://kerkour.com/rust-eating-postgres).]]>
            </summary>
            <updated>2026-03-12T11:36:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/602</id>
            <title type="text"><![CDATA[SQLite-JS Extension]]></title>
            <link rel="alternate" href="https://github.com/sqliteai/sqlite-js" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/602"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create custom SQLite functions in JavaScript. Extend your database with scalars, aggregates, window functions, and collations directly in JavaScript. 

SQLite-JS is a powerful extension that brings JavaScript capabilities to SQLite. With this extension, you can create custom SQLite functions, aggregates, window functions, and collation sequences using JavaScript code, allowing for flexible and powerful data manipulation directly within your SQLite database.]]>
            </summary>
            <updated>2025-08-28T17:38:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/643</id>
            <title type="text"><![CDATA[Lumosql]]></title>
            <link rel="alternate" href="https://lumosql.org/src/lumosql/doc/trunk/README.md" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/643"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LumoSQL is a modification (not a fork) of the SQLite embedded data storage library, which is among the most-deployed software.
LumoSQL adds security, privacy, performance and measurement features to SQLite.]]>
            </summary>
            <updated>2025-08-28T17:46:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/650</id>
            <title type="text"><![CDATA[GreptimeDB]]></title>
            <link rel="alternate" href="https://greptime.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/650"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Single Database for Big Observability. Fast, Efficient, Single Database for Real-Time Observability.
The real-time, cloud-native observability database for metrics, logs, and traces, providing sub-second insights from edge to cloud—at any scale.

- [GreptimeDB @ GitHub](https://github.com/GreptimeTeam/greptimedb)

Related contents:

- [GreptimeDB as Prometheus Long-term Storage @ Anarcher&amp;#039;s Trashcan](https://blog.anarcher.dev/post/2025/04-13-greptimedb-intro/).]]>
            </summary>
            <updated>2025-08-28T17:46:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/695</id>
            <title type="text"><![CDATA[QuestDB]]></title>
            <link rel="alternate" href="https://questdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/695"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Next-generation time-series database. Peak time-series performance.

QuestDB is the world&amp;#039;s fastest growing open-source time-series database. It offers massive ingestion throughput, millisecond queries, powerful time-series SQL extensions, and scales well with minimal and maximal hardware. Save costs with better performance and efficiency.

- [QuestDB @ GitHub](https://github.com/questdb/questdb).

Related contents:

- [Lies, Damn Lies and Database Benchmarks @ QuestDB](https://questdb.com/blog/lies-damn-lies-and-database-benchmarks/).]]>
            </summary>
            <updated>2026-06-25T14:42:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/697</id>
            <title type="text"><![CDATA[HelixDB]]></title>
            <link rel="alternate" href="https://www.helix-db.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/697"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Native Graph-Vector Database.

HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI. 

- [HelixDB @ GitHub](https://github.com/HelixDB/helix-db/).]]>
            </summary>
            <updated>2025-08-28T17:54:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/723</id>
            <title type="text"><![CDATA[Gmail to SQLite]]></title>
            <link rel="alternate" href="https://github.com/marcboeker/gmail-to-sqlite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/723"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Index your Gmail account to a SQLite DB and play with the data. 

This is a script to download emails from Gmail and store them in a SQLite database for further analysis. I find it extremely useful to have all my emails in a database to run queries on them. For example, I can find out how many emails I received per sender, which emails take the most space, and which emails from which sender I never read.]]>
            </summary>
            <updated>2025-08-28T17:58:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/757</id>
            <title type="text"><![CDATA[shardine.rb]]></title>
            <link rel="alternate" href="https://gist.github.com/julik/69066f5a819ac3b38480d42c1351f8ef" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/757"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQLite Multitenancy With Rails.

Related contents:

- [A Can of Shardines: SQLite Multitenancy With Rails @ Julik Tarkhanov](https://blog.julik.nl/2025/04/a-can-of-shardines).]]>
            </summary>
            <updated>2025-08-28T18:04:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/772</id>
            <title type="text"><![CDATA[pgmoneta]]></title>
            <link rel="alternate" href="https://pgmoneta.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/772"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pgmoneta is a backup / restore solution for PostgreSQL.

- [pgmoneta @ GitHub](https://github.com/pgmoneta/pgmoneta).]]>
            </summary>
            <updated>2025-08-28T18:06:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/773</id>
            <title type="text"><![CDATA[go-mysql-server]]></title>
            <link rel="alternate" href="https://github.com/dolthub/go-mysql-server" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/773"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A MySQL-compatible relational database with a storage agnostic query engine. Implemented in pure Go. 

go-mysql-server is a data-source agnostic SQL engine and server which runs queries on data sources you provide, using the MySQL dialect and wire protocol. A simple in-memory database implementation is included, and you can query any data source you want by implementing your own backend.

Related contents:

- [Anatomy Of A SQL Engine @ DoltHub](https://www.dolthub.com/blog/2025-04-25-sql-engine-anatomy/).]]>
            </summary>
            <updated>2025-08-28T18:06:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/807</id>
            <title type="text"><![CDATA[dbdiagram.io]]></title>
            <link rel="alternate" href="https://dbdiagram.io/home" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/807"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database Relationship Diagrams Design Tool.

Draw Entity-Relationship Diagrams, Painlessly 😎
A free, simple tool to draw ER diagrams by just writing code.
Designed for developers and data analysts.]]>
            </summary>
            <updated>2025-08-28T18:12:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/933</id>
            <title type="text"><![CDATA[PgDog]]></title>
            <link rel="alternate" href="https://pgdog.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/933"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scale PostgreSQL horizontally. Postgres scales with PgDog.
 Horizontal scaling for PostgreSQL with automatic sharding. 

PgDog is the missing routing layer for PostgreSQL.
It moves data between nodes and directs query traffic,
transparently to the application.

PgDog is a transaction pooler and logical replication manager that can shard PostgreSQL. Written in Rust, PgDog is fast, secure and can manage hundreds of databases and hundreds of thousands of connections.

- [PgDog @ GitHub](https://github.com/pgdogdev/pgdog).

Related contents:

- [Hacking the Postgres wire protocol @ PgDog](https://pgdog.dev/blog/hacking-postgres-wire-protocol).
- [Rust is slowly but surely eating PostgreSQL: Deep dive into Neon, ParadeDB, PgDog and more @ Sylvain Kerkour](https://kerkour.com/rust-eating-postgres).
- [Why we built yet another Postgres connection pooler @ PgDog](https://pgdog.dev/blog/why-yet-another-connection-pooler).]]>
            </summary>
            <updated>2026-07-08T12:06:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/955</id>
            <title type="text"><![CDATA[SQLite]]></title>
            <link rel="alternate" href="https://sqlite.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/955"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine. SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day. More Information...

Related contents:

- [SQLite File Format Viewer](https://sqlite-internal.pages.dev/).
- [SQLite Transactions and Virtual Tables @ Misframe](https://misfra.me/2025/sqlite-transactions-and-virtual-tables/).
- [A faster way to copy SQLite databases between computers @, alexwlchan](https://alexwlchan.net/2025/copying-sqlite-databases/).
- [Scaling SQLite to 4M QPS on a single server (EC2 vs Bare Metal) @ Expensify](https://use.expensify.com/blog/scaling-sqlite-to-4m-qps-on-a-single-server).
- [PSA: SQLite WAL checksums fail silently and may lose data @ blag](https://avi.im/blag/2025/sqlite-wal-checksum/).
- [Lessons learned from building a sync-engine and reactivity system with SQLite @ Antoine&amp;#039;s blog](https://www.finkelstein.fr/sqlite-sync-engine-with-reactivity).
- [From 19k to 4.2M events/sec: story of a SQLite query optimisation @ mnt.io](https://mnt.io/articles/from-19k-to-4-2m-events-per-sec-story-of-a-sqlite-query-optimisation/).
- [SQLite Is ULTIMATE Choice For 99% of Projects @ DevOps Toolbox&amp;#039;s YouTube](https://www.youtube.com/watch?v=9RArbqGOvsw).
- [Subtleties of SQLite Indexes @ Evan Schwartz](https://emschwartz.me/subtleties-of-sqlite-indexes/).
- [SQLite concurrency and why you should care about it @ Jellyfin](https://jellyfin.org/posts/SQLite-locking/).
- [100000 TPS over a billion rows: the unreasonable effectiveness of SQLite @ anders murphy](https://andersmurphy.com/2025/12/02/100000-tps-over-a-billion-rows-the-unreasonable-effectiveness-of-sqlite.html).
- [The Silent Standard: Why the World’s Most Deployed Database Is Killing the Custom File Format @ WebProNews](https://www.webpronews.com/the-silent-standard-why-the-worlds-most-deployed-database-is-killing-the-custom-file-format/).
- [SQLite JSON Superpower: Virtual Columns + Indexing @ DB Pro](https://www.dbpro.app/blog/sqlite-json-virtual-columns-indexing).
- [I don&amp;#039;t buy SQLite in the cloud @ Monroe Clinton](https://monroeclinton.com/i-dont-buy-sqlite-in-the-cloud/).
- [SQLite 3.52 Released With WAL Corruption Fix and CLI Improvements @ linuxiac](https://linuxiac.com/sqlite-3-52-released-with-wal-corruption-fix-and-cli-improvements/).
- [Gotchas with SQLite in Production @ Anže&amp;#039;s Blog](https://blog.pecar.me/sqlite-prod/).
- [Modern SQLite: Features You Didn’t Know It Had @ slicker.me](https://slicker.me/sqlite/features.htm).
- [SQLite is All You Need for Durable Workflows @ Obelisk](https://obeli.sk/blog/sqlite-is-all-you-need-for-durable-workflows/).
- [SQLite improving performance with pre-sort @ anders murphy](https://andersmurphy.com/2026/06/07/sqlite-improving-performance-with-pre-sort.html).
- [Detecting Full Table Scans With SQLite @ Tenderlove Making](https://tenderlovemaking.com/2026/07/15/detecting-full-table-scans-with-sqlite/).
- [SQLite should have (Rust-style) editions @ Mort&amp;#039;s Ramblings](https://mort.coffee/home/sqlite-editions/).]]>
            </summary>
            <updated>2026-07-16T12:07:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1019</id>
            <title type="text"><![CDATA[tbls]]></title>
            <link rel="alternate" href="https://github.com/k1LoW/tbls" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1019"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[tbls is a CI-Friendly tool to document a database, written in Go. 

Related contents:

- [Liam ERD](https://liambx.com/).]]>
            </summary>
            <updated>2025-08-28T18:46:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1020</id>
            <title type="text"><![CDATA[Liam ERD]]></title>
            <link rel="alternate" href="https://liambx.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1020"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ER Diagrams, Reinvented for Simplicity.

Automatically generate and explore your database schema with a powerful interactive viewer.
Liam ERD generates beautiful, interactive ER diagrams from your database. Whether you&amp;#039;re working on public or private repositories, Liam ERD helps you visualize complex schemas with ease.

- [Liam ERD @ GitHub](https://github.com/liam-hq/liam).]]>
            </summary>
            <updated>2025-08-28T18:47:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1021</id>
            <title type="text"><![CDATA[MongoDB]]></title>
            <link rel="alternate" href="https://www.mongodb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1021"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The World’s Leading Modern Database.

- [MongoDB @ GitHub](https://github.com/mongodb/mongo).

Related contents:

- [Episode \#7: 10gen and MongoDB @ Changelog Interviews](https://changelog.com/podcast/7).
- [Episode #18: NoSQL Smackdown! @ Changelog Interviews](https://changelog.com/podcast/18).
- [Deploying Percona Operator for MongoDB Across GKE Clusters with MCS @ Percona](https://www.percona.com/blog/deploying-percona-operator-for-mongodb-across-gke-clusters-with-mcs/).
- [Multi-Cluster databases on Kubernetes: Architecture and deployment @ CNCF](https://www.cncf.io/blog/2026/07/22/multi-cluster-databases-on-kubernetes-architecture-and-deployment/).]]>
            </summary>
            <updated>2026-07-24T12:12:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1066</id>
            <title type="text"><![CDATA[SpacetimeDB]]></title>
            <link rel="alternate" href="https://spacetimedb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1066"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The easiest way to build a multiplayer app.
 Multiplayer at the speed of light.

You can think of SpacetimeDB as both a database and server combined into one.
It is a relational database system that lets you upload your application logic directly into the database by way of fancy stored procedures called &amp;quot;modules.&amp;quot;

- [SpacetimeDB @ GitHub](https://github.com/clockworklabs/SpacetimeDB).

Related contents:

- [SpacetimeDB: a short technical review @ strcat](https://strn.cat/posts/spacetime/).]]>
            </summary>
            <updated>2026-08-21T11:55:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1068</id>
            <title type="text"><![CDATA[VictoriaLogs]]></title>
            <link rel="alternate" href="https://victoriametrics.com/products/victorialogs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1068"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scalable, Open Source, Logs DB &amp;amp; Logging Solution.

- [VictoriaMetrics @ GitHub](https://github.com/VictoriaMetrics/VictoriaMetrics).

Related contents:

- [Grepping logs remains terrible @ Chronicae Novis Rebus](https://chronicles.mad-scientist.club/tales/grepping-logs-remains-terrible/).]]>
            </summary>
            <updated>2025-08-28T18:54:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1077</id>
            <title type="text"><![CDATA[Graft]]></title>
            <link rel="alternate" href="https://github.com/orbitinghail/graft" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1077"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graft is an open-source transactional storage engine optimized for lazy, partial, and strongly consistent replication—perfect for edge, offline-first, and distributed applications. 

Related contents:

- [Stop syncing everything @ SQLSync](https://sqlsync.dev/posts/stop-syncing-everything/).]]>
            </summary>
            <updated>2025-08-28T18:56:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1101</id>
            <title type="text"><![CDATA[PG-MCP]]></title>
            <link rel="alternate" href="https://stuzero.github.io/pg-mcp/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1101"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL Model Context Protocol (PG-MCP) Server.

A Model Context Protocol (MCP) server for PostgreSQL databases with enhanced capabilities for AI agents.

- [PostgreSQL Model Context Protocol (PG-MCP) Server @ GitHub](https://github.com/stuzero/pg-mcp-server).]]>
            </summary>
            <updated>2026-08-07T07:39:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1110</id>
            <title type="text"><![CDATA[OLake]]></title>
            <link rel="alternate" href="https://olake.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1110"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fastest way to Replicate your Database data in Data Lake.
OLake makes data replication faster by parallelizing full loads, leveraging change streams for real-time sync, and pulling data in a database-native format for efficient ingestion.

Fastest open-source tool for replicating Databases to Apache Iceberg or Data Lakehouse. ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supporting Postgres, MongoDB and MySQL 

- [OLake @ GitHub](https://github.com/datazip-inc/olake).

Related contents:

- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).]]>
            </summary>
            <updated>2025-08-28T19:02:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1113</id>
            <title type="text"><![CDATA[Sequin]]></title>
            <link rel="alternate" href="https://sequinstream.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1113"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fastest Postgres change data capture.

Stream data from Postgres directly to Kafka, Redis, and more. Replace complex tools like Debezium and consolidate workflows. 

- [Sequin @ GitHub](https://github.com/sequinstream/sequin).

Related contents:

- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).]]>
            </summary>
            <updated>2025-08-28T19:02:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1115</id>
            <title type="text"><![CDATA[DBConvert Streams]]></title>
            <link rel="alternate" href="https://docs.dbconvert.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1115"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Migrate Databases and Stream Data Between Database Systems.

DBConvert Streams (DBS) is a cutting-edge distributed platform designed for data migration between heterogeneous databases and real-time data replication. It simplifies the process of transferring data between on-premises or cloud databases, including relational databases and data warehouses.

- [DBConvert Streams @ GitHub](https://github.com/slotix/dbconvert-streams-public).

Related contents:

- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).]]>
            </summary>
            <updated>2025-08-28T19:02:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1158</id>
            <title type="text"><![CDATA[pgvector]]></title>
            <link rel="alternate" href="https://github.com/pgvector/pgvector" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1158"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source vector similarity search for Postgres.

Related contents:

- [Sharding pgvector @ PgDog](https://pgdog.dev/blog/sharding-pgvector).
- [The Case Against pgvector @ Alex Jacobs](https://alex-jacobs.com/posts/the-case-against-pgvector/).
- [Running pgvector in production on Amazon Aurora PostgreSQL @ AWS Database Blog](https://aws.amazon.com/blogs/database/running-pgvector-in-production-on-amazon-aurora-postgresql/).]]>
            </summary>
            <updated>2026-07-06T06:39:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1170</id>
            <title type="text"><![CDATA[pgledger]]></title>
            <link rel="alternate" href="https://github.com/pgr0ss/pgledger" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1170"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A ledger implementation in PostgreSQL.

Related contents:

- [Ledger Implementation in PostgreSQL @ Paul Gross&amp;#039;s Blog](https://www.pgrs.net/2025/03/24/pgledger-ledger-implementation-in-postgresql/).]]>
            </summary>
            <updated>2025-08-28T19:11:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1332</id>
            <title type="text"><![CDATA[Kuzu]]></title>
            <link rel="alternate" href="https://kuzudb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1332"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An embeddable, scalable, extremely fast graph database.

 Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
Kuzu is an embedded graph database built for query speed and scalability. Kuzu is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

- [Kuzu @ GitHub](https://github.com/kuzudb/kuzu).

Related contents:

- [Fully In-Browser Graph RAG with Kuzu-Wasm @ Kuzu](https://blog.kuzudb.com/post/kuzu-wasm-rag/).]]>
            </summary>
            <updated>2025-08-28T19:39:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1339</id>
            <title type="text"><![CDATA[pg_mooncake]]></title>
            <link rel="alternate" href="https://github.com/Mooncake-Labs/pg_mooncake" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1339"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[1000x Faster Analytics in Postgres.  Postgres-native Data Warehouse.

pg_mooncake is a Postgres extension that adds columnar storage and vectorized execution (DuckDB) for fast analytics within Postgres. Postgres + pg_mooncake ranks among the top 10 fastest in ClickBench.

Related contents:

- [Postgres Is the Gateway Drug @  Vignesh Ravichandran](https://viggy28.dev/article/postgres-gateway-drug/).]]>
            </summary>
            <updated>2026-03-23T16:35:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1396</id>
            <title type="text"><![CDATA[CloudNativePG]]></title>
            <link rel="alternate" href="https://cloudnative-pg.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgre SQL Operator for Kubernetes.
Run PostgreSQL.
The Kubernetes way.

CloudNativePG is the Kubernetes operator that covers the full lifecycle of a highly available PostgreSQL database cluster with a primary/standby architecture, using native streaming replication. 

- [CloudNativePG @ GitHub](https://github.com/cloudnative-pg/cloudnative-pg).
- [0️⃣ CNPG-I Scale-to-Zero Plugin @ GitHub](https://github.com/xataio/cnpg-i-scale-to-zero).

Related contents:

- [Plongez dans le monde de CloudNativePG #4 - Les sauvegardes ! @ Dalibo :fr:](https://blog.dalibo.com/2025/02/27/cnpg-3.html).
- [Making Postgres scale to zero with CNPG @ xata](https://xata.io/blog/making-postgres-scale-to-zero-with-cnpg).
- [Kubernetes Finally Solves Its Biggest Problem: Managing Databases @ The New Stack](https://thenewstack.io/kubernetes-finally-solves-its-biggest-problem-managing-databases/).
https://medium.com/@nejdetkadir/how-i-built-my-own-home-lab-a-single-node-kubernetes-platform-34bdf6a08a26]]>
            </summary>
            <updated>2026-07-27T06:11:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1435</id>
            <title type="text"><![CDATA[GoatDB]]></title>
            <link rel="alternate" href="https://goatdb.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1435"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lightweight NoDB for Deno &amp;amp; React.

GoatDB is a real-time, version-controlled database for Deno, React, and low-friction deployments. It’s ideal for prototyping, self-hosting, single-tenant apps, as well as ultra light multi-tenant setups without heavy backends or complex DBs.

- [GoatDB @ GitHub](https://github.com/goatplatform/goatdb).]]>
            </summary>
            <updated>2025-08-28T19:55:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1525</id>
            <title type="text"><![CDATA[LiteFS]]></title>
            <link rel="alternate" href="https://fly.io/docs/litefs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1525"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distributed SQLite.

LiteFS is a distributed file system that transparently replicates SQLite databases. You can run your application like it’s running against a local on-disk SQLite database but behind the scenes the database is replicated to all the nodes in your cluster. With LiteFS, you can run your database right next to your application on the edge. You can run LiteFS anywhere!

- [LiteFS @ GitHub](https://github.com/superfly/litefs).]]>
            </summary>
            <updated>2025-08-28T20:11:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1540</id>
            <title type="text"><![CDATA[Use The Index, Luke]]></title>
            <link rel="alternate" href="https://use-the-index-luke.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1540"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQL Indexing and Tuning e-Book for developers.
Use The Index, Luke covers Oracle, MySQL, PostgreSQL, SQL Server, ...

A site explaining SQL indexing to developers—no crap about administration.
SQL indexing is the most effective tuning method—yet it is often neglected during development. Use The Index, Luke explains SQL indexing from grounds up and doesn’t stop at ORM tools like Hibernate.]]>
            </summary>
            <updated>2025-08-28T20:12:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1572</id>
            <title type="text"><![CDATA[Velld]]></title>
            <link rel="alternate" href="https://github.com/dendianugerah/velld" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1572"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A database backup management and automation tool. Velld provides a user-friendly interface for scheduling, managing, and monitoring database backups, ensuring data security and easy recovery.]]>
            </summary>
            <updated>2025-08-28T20:19:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1589</id>
            <title type="text"><![CDATA[PgAssistant]]></title>
            <link rel="alternate" href="https://github.com/nexsol-technologies/pgassistant" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1589"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A PostgreSQL assistant for developers
designed to help understand and optimize PostgreSQL database performance.

PgAssistant is an open-source tool designed to help developers understand and optimize their PostgreSQL database performance. It provides insights into database behavior, identifies schema-related issues, and assists in correcting them. Additionally, PgAssistant makes it easy to manage a library of specific SQL queries useful for your project through a simple JSON file.]]>
            </summary>
            <updated>2025-08-28T20:21:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1599</id>
            <title type="text"><![CDATA[Parseable]]></title>
            <link rel="alternate" href="https://www.parseable.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1599"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Parseable is a disk less, cloud native database for logs, observability, security, and compliance. Parseable is built with focus on simplicity &amp;amp; resource efficiency. 

- [Parseable @ GitHub](https://github.com/parseablehq/parseable).]]>
            </summary>
            <updated>2025-08-28T20:23:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1654</id>
            <title type="text"><![CDATA[DBngin]]></title>
            <link rel="alternate" href="https://dbngin.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1654"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All-in-One Database Version Management Tool.

Related contents:

- [Local WordPress with Herd, DBngin, and WP-CLI @ Brian Coords](https://www.briancoords.com/local-wordpress-with-herd-dbngin-and-wp-cli/).]]>
            </summary>
            <updated>2025-08-28T20:31:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1656</id>
            <title type="text"><![CDATA[Dexie.js]]></title>
            <link rel="alternate" href="https://dexie.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1656"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Minimalistic Wrapper for IndexedDB.

Dexie.js is a wrapper library for indexedDB - the standard database in the browser.
IndexedDB is the portable database for all browser engines. Dexie.js makes it fun and easy to work with.

- [Dexie.js @ GitHub](https://github.com/dexie/Dexie.js).]]>
            </summary>
            <updated>2025-08-28T20:32:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1657</id>
            <title type="text"><![CDATA[SQLite Page Explorer]]></title>
            <link rel="alternate" href="https://github.com/QuadrupleA/sqlite-page-explorer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1657"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual tool to explore SQLite databases page-by-page, the way they&amp;#039;re stored on disk and the way SQLite sees them.
A small GUI application built in redbean that lets you explore your SQLite databases &amp;quot;page by page&amp;quot; the way SQLite sees them.]]>
            </summary>
            <updated>2025-08-28T20:32:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1662</id>
            <title type="text"><![CDATA[Liquibase]]></title>
            <link rel="alternate" href="https://www.liquibase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1662"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database Change Management &amp;amp; CI/CD Automation, Database DevOps.

Automated, secure, and compliant database change management pipelines that accelerate delivery and reduce toil.
Liquibase helps millions of developers track, version, and deploy database schema changes. 

-  [Liquibase @ GitHub](https://github.com/liquibase/liquibase).]]>
            </summary>
            <updated>2025-08-28T20:33:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1664</id>
            <title type="text"><![CDATA[Redis Vector Library (RedisVL)]]></title>
            <link rel="alternate" href="https://docs.redisvl.com/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1664"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A powerful, AI-native Python client library for Redis. Leverage the speed, flexibility, and reliability of Redis for real-time data to supercharge your AI application.

- [RedisVL @ GitHub](https://github.com/redis/redis-vl-python).

Related contents:

- [You need more than a vector database @ Redis](https://redis.io/blog/you-need-more-than-a-vector-database/).]]>
            </summary>
            <updated>2025-08-28T20:33:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1789</id>
            <title type="text"><![CDATA[DocumentDB]]></title>
            <link rel="alternate" href="https://github.com/microsoft/documentdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1789"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DocumentDB offers a native implementation of document-oriented NoSQL database, enabling seamless CRUD operations on BSON data types within a PostgreSQL framework. Powering vCore-based Azure Cosmos DB for MongoDB.

Related contents:

- [Microsoft builds open source document database on PostgreSQL, suggests FerretDB as front end @ The Register](https://www.theregister.com/2025/01/27/microsoft_builds_open_source_document/).
- [DocumentDB: Open-Source Announcement @ Microsoft Open Source](https://opensource.microsoft.com/blog/2025/01/23/documentdb-open-source-announcement/).]]>
            </summary>
            <updated>2025-08-28T20:55:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1820</id>
            <title type="text"><![CDATA[PostgreSQL execution plan visualizer]]></title>
            <link rel="alternate" href="https://explain.dalibo.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1820"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visualizing and understanding PostgreSQL EXPLAIN plans made easy. 

A VueJS component to show a graphical vizualization of a PostgreSQL execution plan.

- [PostgreSQL execution plan visualizer 2 @ GitHub](https://github.com/dalibo/pev2).]]>
            </summary>
            <updated>2025-08-28T20:59:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1821</id>
            <title type="text"><![CDATA[pgMustard]]></title>
            <link rel="alternate" href="https://www.pgmustard.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1821"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[review Postgres query plans quickly.

A simple yet powerful tool to help you speed up queries. pgMustard speeds up your journey from knowing which query is a problem to working out what can be done about it.]]>
            </summary>
            <updated>2025-08-28T20:59:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1844</id>
            <title type="text"><![CDATA[Amazon DynamoDB]]></title>
            <link rel="alternate" href="https://docs.aws.amazon.com/dynamodb/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1844"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

Related contents:

- [DynamoDB Dashboard @ GitHub](https://github.com/kritish-dhaubanjar/dynamodb-dashboard).
- [dynamodb-admin @ GitHub](https://github.com/aaronshaf/dynamodb-admin).
- [\#304.bin - Bilan 2024: Le début de la révolution avec Quentin Adam @ &amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/bilan-2024).]]>
            </summary>
            <updated>2025-08-28T21:04:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1870</id>
            <title type="text"><![CDATA[Qustar]]></title>
            <link rel="alternate" href="https://github.com/tilyupo/qustar" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1870"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Query SQL database through an array-like API.]]>
            </summary>
            <updated>2025-08-28T21:08:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1878</id>
            <title type="text"><![CDATA[Kronotop]]></title>
            <link rel="alternate" href="https://github.com/kronotop/kronotop" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1878"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kronotop is a Redis-compatible, distributed and transactional document database backed by FoundationDB. 

Kronotop&amp;#039;s main focus is building a document database that supports MQL-like query language, ACID transactions and on-disk storage engine with a primary-standby replication model.]]>
            </summary>
            <updated>2025-08-28T21:09:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1879</id>
            <title type="text"><![CDATA[Searchlight]]></title>
            <link rel="alternate" href="https://github.com/ravelantunes/Searchlight" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1879"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A native MacOS Postgres client.

Searchlight is a native macOS, open-source PostgreSQL client designed to be simple, lightweight, and developer-friendly. It offers a clean and intuitive interface for managing databases and running queries without the complexity of full-scale database management tools. Searchlight focuses on delivering a smooth and efficient experience for developers who need quick and easy access to their PostgreSQL databases.]]>
            </summary>
            <updated>2025-08-28T21:09:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1962</id>
            <title type="text"><![CDATA[rqlite]]></title>
            <link rel="alternate" href="https://rqlite.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1962"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The lightweight, user-friendly, distributed relational database built on SQLite.
Fault tolerance and high availability with zero hassle.

- [rqlite @ GitHub](https://github.com/rqlite/rqlite).

Related contents:

- [How rqlite is tested @ Philip O&amp;#039;Toole ](https://philipotoole.com/how-is-rqlite-tested/).
- [The source code was the moat. But not anymore @ Philip O&amp;#039;Toole](https://philipotoole.com/the-source-code-was-the-moat-no-longer/).]]>
            </summary>
            <updated>2026-04-03T13:33:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2072</id>
            <title type="text"><![CDATA[M3]]></title>
            <link rel="alternate" href="https://m3db.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2072"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Metrics Engine.
Distributed TSDB and Query Engine, Prometheus Sidecar, Metrics Aggregator, and more such as Graphite storage and query engine.

M3 is a Prometheus compatible, easy to adopt metrics engine that provides visibility for some of the world’s largest brands. 

- [M3 @ GitHub](https://github.com/m3db/m3).

Related contents:

- [From Chaos to Control: Addressing Shard Distribution Challenges in M3DB with Subclusters @ Uber](https://www.uber.com/us/en/blog/from-chaos-to-control/).]]>
            </summary>
            <updated>2026-09-09T13:18:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2090</id>
            <title type="text"><![CDATA[Chproxy]]></title>
            <link rel="alternate" href="https://www.chproxy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2090"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Chproxy is an HTTP proxy and load balancer for ClickHouse.

- [Chproxy @ GitHub](https://github.com/ContentSquare/chproxy).]]>
            </summary>
            <updated>2025-08-28T21:44:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2106</id>
            <title type="text"><![CDATA[Undb]]></title>
            <link rel="alternate" href="https://undb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2106"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Airtable Alternative &amp;amp; Backend as a Service.
 🚀 Private first self-hosted no code database &amp;amp; BaaS. 

UNDB is a no-code platform that can also serve as a Backend as a Service (BaaS). It is based on SQLite and can be packaged into a binary file using Bun for backend service. Additionally, it can be deployed as a service via Docker, offering a UI for table management.

- [Undb @ GitHub](https://github.com/undb-io/undb).]]>
            </summary>
            <updated>2025-08-28T21:48:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2222</id>
            <title type="text"><![CDATA[SDF Labs]]></title>
            <link rel="alternate" href="https://www.sdf.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2222"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Data Runs Better on SDF. Transform Data Better with SDF.
SDF is the fastest way to build a scalable, reliable, and optimized data warehouse.

SDF is a developer platform for data that scales SQL understanding across an organization, empowering all data teams to unlock the full potential of their data.

SDF is a multi-dialect SQL compiler, transformation framework, and analytical database engine. It natively compiles SQL dialects, like Snowflake, and connects to their corresponding data warehouses to materialize models.

- [SDF Docs](https://docs.sdf.com/).
- [SDF @ GitHub](https://github.com/sdf-labs/sdf-cli).

Source: [Testing is Not Enough: Transforming Data Quality with Write, Audit, Publish using SDF Build @ SDF Blog](https://blog.sdf.com/p/testing-is-not-enough-transforming).]]>
            </summary>
            <updated>2025-08-28T22:06:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2314</id>
            <title type="text"><![CDATA[myexplainer]]></title>
            <link rel="alternate" href="https://github.com/mmartinjoo/myexplainer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2314"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[✨A CLI tool for analyzing queries and DB tables for MySQL.]]>
            </summary>
            <updated>2025-08-28T22:21:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2323</id>
            <title type="text"><![CDATA[SQLAlchemy]]></title>
            <link rel="alternate" href="https://www.sqlalchemy.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2323"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Database Toolkit for Python.

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.

- [SQLAlchemy @ GitHub](https://github.com/sqlalchemy/sqlalchemy).
- [SqlAlchemy, l&amp;#039;ORM Python - Partie 1 @ DevSecOps :fr:](https://blog.stephane-robert.info/docs/developper/programmation/python/sqlachemy-1/).]]>
            </summary>
            <updated>2025-08-28T22:24:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2347</id>
            <title type="text"><![CDATA[Amazon Aurora DSQL]]></title>
            <link rel="alternate" href="https://aws.amazon.com/fr/rds/aurora/dsql/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2347"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Distributed SQL Databases

Fastest serverless distributed SQL database for always available applications.

- [AWS announces Aurora DSQL, a new distributed SQL database that promises virtually unlimited scalability @ TechCrunch](https://techcrunch.com/2024/12/03/aws-announces-aurora-dsql-a-new-distributed-sql-database-that-promises-virtually-unlimited-scalability/).]]>
            </summary>
            <updated>2025-08-28T22:28:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2454</id>
            <title type="text"><![CDATA[Address Database]]></title>
            <link rel="alternate" href="https://netsyms.com/gis/addresses" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2454"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Self-hosted street address database

A SQLite3 database file with over 150 million U.S. and Canada address records. Indexed for fast queries, even on fairly slow hardware.]]>
            </summary>
            <updated>2025-08-28T22:45:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2475</id>
            <title type="text"><![CDATA[Releem]]></title>
            <link rel="alternate" href="https://releem.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2475"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MySQL Performance Tuning Tool.

-  [Founder &amp;amp; Developer Interview With Roman Agabekov @ OpenLampTech](https://openlamptech.substack.com/p/openlamptech-founder-and-developer).]]>
            </summary>
            <updated>2025-08-28T22:49:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2490</id>
            <title type="text"><![CDATA[Wren AI]]></title>
            <link rel="alternate" href="https://getwren.ai/oss" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2490"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source sQL AI Agent. Text2SQL made Easy!

Wren AI is an open-source SQL AI Agent that empowers data, product, and business teams to access insights through AI chat, built-in well designed intuitive UI and UX, integrating seamlessly with tools like Excel and Google Sheets.

- [Wren AI @ GitHub](https://github.com/Canner/WrenAI).]]>
            </summary>
            <updated>2025-08-28T22:50:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2501</id>
            <title type="text"><![CDATA[DBOS]]></title>
            <link rel="alternate" href="https://www.dbos.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2501"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Reliable Backends 10x Faster, Scale to Millions with 1 Click.

DBOS is a serverless platform for building highly reliable applications.
What takes days to build on AWS takes minutes on DBOS.

- [DBOS Transact in Python @ GitHub](https://github.com/dbos-inc/dbos-transact-py).
- [DBOS Transact in Java @ GitHub](https://github.com/dbos-inc/dbos-transact-java).
- [DBOS Transact in Go @ GitHub](https://github.com/dbos-inc/dbos-transact-golang).

Related contents:

- [Running Durable Workflows in Postgres using DBOS @ Supabase](https://supabase.com/blog/durable-workflows-in-postgres-dbos).]]>
            </summary>
            <updated>2025-11-14T12:51:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2505</id>
            <title type="text"><![CDATA[Limbo]]></title>
            <link rel="alternate" href="https://github.com/tursodatabase/limbo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2505"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Limbo is a work-in-progress, in-process OLTP database management system, compatible with SQLite.

Related contents:

- [Episode \#626: Turso is rewriting SQLite in Rust @ Changelog Interviews](https://changelog.com/podcast/626).
- [Introducing Limbo: A complete rewrite of SQLite in Rust @ Turso](https://turso.tech/blog/introducing-limbo-a-complete-rewrite-of-sqlite-in-rust).]]>
            </summary>
            <updated>2025-08-28T22:53:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2525</id>
            <title type="text"><![CDATA[Postgres for Everything (e/postgres)]]></title>
            <link rel="alternate" href="https://github.com/Olshansk/postgres_for_everything" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2525"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[How to reduce complexity and move faster? Just Postgres for everything. 

The goal of this repository is to demonstrate how to use Postgres for Everything.

- [Just Use Postgres for Everything @ Amazing CTO](https://www.amazingcto.com/postgres-for-everything).]]>
            </summary>
            <updated>2025-08-28T22:57:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2580</id>
            <title type="text"><![CDATA[rust-query]]></title>
            <link rel="alternate" href="https://github.com/LHolten/rust-query" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2580"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Type safe queries using the Rust type system.

The goal of this library is to allow writing relational database queries using familiar Rust syntax. The library should guarantee that a query can not fail if it compiles. This already includes preventing use after free for row ids passed between queries and even database migrations!]]>
            </summary>
            <updated>2025-08-28T23:06:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2593</id>
            <title type="text"><![CDATA[Apache Iceberg™]]></title>
            <link rel="alternate" href="https://iceberg.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2593"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The open table format for analytic datasets.

Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time.

- [Apache Iceberg @ GitHub](https://github.com/apache/iceberg).

Related contents:

- [PyIceberg: Current State and Roadmap @ Ju Data Engineering Newsletter](https://juhache.substack.com/p/pyiceberg-current-state-and-roadmap).
- [The Equality Delete Problem in Apache Iceberg @ Data Engineer Things&amp;#039;s Medium](https://blog.dataengineerthings.org/the-equality-delete-problem-in-apache-iceberg-143dd451a974).
- [How I Saved Millions by Restructuring Iceberg Metadata @ Gautham Gondi&amp;#039;s Medium](https://medium.com/@gauthamnagendra/how-i-saved-millions-by-restructuring-iceberg-metadata-c4f5c1de69c2).
- [High Throughput Ingestion with Iceberg @ Adobe Tech Blog&amp;#039;s Medium](https://medium.com/adobetech/high-throughput-ingestion-with-iceberg-ccf7877a413f).
- [Scaling Iceberg Writes with Confidence: A Conflict-Free Distributed Architecture for Fast, Concurrent, Consistent Append-Only Writes @ e6data](https://www.e6data.com/blog/iceberg-distributed-architecture-fast-concurrent-append-writes).
- [Postgres Is the Gateway Drug @ Vignesh Ravichandran](https://viggy28.dev/article/postgres-gateway-drug/).]]>
            </summary>
            <updated>2026-03-23T16:38:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2596</id>
            <title type="text"><![CDATA[Outerbase Studio]]></title>
            <link rel="alternate" href="https://studio.outerbase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2596"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Powerful Database Client.

Outerbase Studio is a fully-featured, lightweight GUI client for managing Turso, LibSQL, Cloudflare D1, rqlite, MySQL, and PostgreSQL. It runs entirely in your browser, so there&amp;#039;s no need to download anything.

- [Outerbase Studio @ GitHub](https://github.com/outerbase/studio).]]>
            </summary>
            <updated>2025-08-28T23:09:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2615</id>
            <title type="text"><![CDATA[PostgreSQL]]></title>
            <link rel="alternate" href="https://www.postgresql.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2615"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The world&amp;#039;s most advanced open source database.

Related contents:

- [You Just Need Postgres](https://youjustneedpostgres.com/).
- [Postgres Locks Explained](https://postgreslocksexplained.com/).
- [What I Wish Someone Told Me About Postgres @ ChallahScript](https://challahscript.com/what_i_wish_someone_told_me_about_postgres#jsonb-is-a-sharp-knife).
- [Logical replication in Postgres: Basics @ EDB](https://www.enterprisedb.com/blog/logical-replication-postgres-basics).
- [Database sharding case study: PostgreSQL @ The Polymathic Engineer](https://newsletter.francofernando.com/p/database-sharding-case-study-postgresql).
- [I Tried Every Open Source Database and Found Only One That is Actually Useful @ Hacker Noon](https://hackernoon.com/i-tried-every-open-source-database-and-found-only-one-that-is-actually-useful).
- [How direct TLS can speed up your connections @ Marc Bowes](https://marc-bowes.com/postgres-direct-tls.html).
- [PostgreSQL pour remplacer Redis @ Rodolphe Bréard
 :fr:](https://rodolphe.breard.tf/article/postgresql-pour-remplacer-redis/).
- [One more reason to choose Postgres over MySQL @ tanin](https://tanin.nanakorn.com/one-more-reason-to-use-postgres-vs-mysql/).
- [From 99.9% to 99.99%: Building PostgreSQL Resilience into Your Product Architecture @ Stormatics](https://stormatics.tech/blogs/building-postgresql-resilience-into-your-product-architecture).
- [Handling unique indexes on large data in PostgreSQL @ Volodymyr Potiichuk](https://volodymyrpotiichuk.com/blog/articles/unique-indexes-on-large-data-in-postgres-sql).
- [Postgres Internals Deep Dive: Process Architecture @ EDB Postgres](https://www.enterprisedb.com/blog/postgres-internals-deep-dive-process-architecture).
- [PostgreSQL maintenance without superuser @ boringSQL](https://boringsql.com/posts/postgresql-predefined-roles/).
- [Postgres’ Original Project Goals: The Creators Totally Nailed It @ Chunchy Data](https://www.crunchydata.com/blog/the-postgres-project-original-goals-and-how-the-creators-totally-nailed-it).
- [Redis is fast - I&amp;#039;ll cache in Postgres @ Dizzy zone](https://dizzy.zone/2025/09/24/Redis-is-fast-Ill-cache-in-Postgres/).
- [PostgreSQL MVCC Explained (Simply!) @ SauravDhakal&amp;#039;s Substack](https://substack.com/home/post/p-171617759).
- [Postgres Partitioning Best Practices: Sofia&amp;#039;s Story @ Karen Jex](https://karenjex.blogspot.com/2025/09/postgres-partitioning-best-practices.html).
- [Tuning AIO in PostgreSQL 18 @ Tomas Vondra](https://vondra.me/posts/tuning-aio-in-postgresql-18/).
- [Advanced PostgreSQL Indexing: Multi-Key Queries and Performance Optimization @ Frontend Masters](https://frontendmasters.com/blog/advanced-postgresql-indexing/).
- [The best worst hack that saved our bacon @ Jefferson Heard](https://jeffersonheard.ghost.io/the-best-worst-hack-that-saved-our-bacon/).
- [Going down the rabbit hole of Postgres 18 features @ xata](https://xata.io/blog/going-down-the-rabbit-hole-of-postgres-18-features).
- [JIT: so you want to be faster than an interpreter on modern CPUs… @ Pinaraf&amp;#039;s website](https://www.pinaraf.info/2025/10/jit-so-you-want-to-be-faster-than-an-interpreter-on-modern-cpus/).
- [Postgres 18: OLD and NEW Rows in the RETURNING Clause @ crunchy data](https://www.crunchydata.com/blog/postgres-18-old-and-new-in-the-returning-clause).
- [Benchmarking Postgres 17 vs 18 @ PlanetScale](https://planetscale.com/blog/benchmarking-postgres-17-vs-18).
- [Is Postgres Read Heavy or Write Heavy? (And Why You Should You Care) @ crunchy data](https://www.crunchydata.com/blog/is-postgres-read-heavy-or-write-heavy-and-why-should-you-care).
- [Pipelining in psql (PostgreSQL 18) @ PostgreSQL Notes - Daniel Vérité](https://postgresql.verite.pro/blog/2025/10/01/psql-pipeline.html).
- [Kafka is fast -- I&amp;#039;ll use Postgres @ TopicPartition](https://topicpartition.io/blog/postgres-pubsub-queue-benchmarks).
- [Redis is fast - I&amp;#039;ll cache in Postgres @ Dizzy zone](https://dizzy.zone/2025/09/24/Redis-is-fast-Ill-cache-in-Postgres/).
- [Moving tables across PostgreSQL instances @ Anantha Kumaran](https://ananthakumaran.in/2025/11/02/moving-tables-across-postgres-instances.html).
- [Absurd Workflows: Durable Execution With Just Postgres @ Armin Ronacher&amp;#039;s Thoughts and Writings](https://lucumr.pocoo.org/2025/11/3/absurd-workflows/).
- [Don&amp;#039;t give Postgres too much memory @ Tomas Vondra](https://vondra.me/posts/dont-give-postgres-too-much-memory/).
- [Moving tables across PostgreSQL instances @ Anantha Kumaran](https://ananthakumaran.in/2025/11/02/moving-tables-across-postgres-instances.html).
- [Postgres Internals Hiding in Plain Sight @ crunchy data](https://www.crunchydata.com/blog/postgres-internals-hiding-in-plain-sight).
- [#PostgresMarathon 2-013: Why keep your index set lean @ PostgresAI](https://postgres.ai/blog/20251110-postgres-marathon-2-013-why-keep-your-index-set-lean).
- [99% of Developers Don&amp;#039;t Get PostgreSQL @ The Coding Gopher&amp;#039;s YouTube](https://www .youtube.com/watch?v=P8rrhZTPEAQ).
- [PostgreSQL DBA @ Developer Roadmaps](https://roadmap.sh/postgresql-dba).
- [How/Why to Sweep Async Tasks Under a Postgres Table @ taylor.town](https://taylor.town/pg-task).
- [Instant database clones with PostgreSQL 18 @ boringSQL](https://boringsql.com/posts/instant-database-clones/).
- [Go ahead, self-host Postgres @ Pierce Freeman](https://pierce.dev/notes/go-ahead-self-host-postgres).
- [PostgreSQL 18 RETURNING Enhancements: A Game Changer for Modern Applications @ pgEdge](https://www.pgedge.com/blog/postgresql-18-returning-enhancements-a-game-changer-for-modern-applications).
- [The hidden cost of PostgreSQL arrays @ boringSQL](https://boringsql.com/posts/good-bad-arrays/).
- [Life Altering Postgresql Patterns @ mccue.dev](https://mccue.dev/pages/3-11-25-life-altering-postgresql-patterns).
- [Unconventional PostgreSQL Optimizations @ Haki Benita](https://hakibenita.com/postgresql-unconventional-optimizations).
- [I Replaced Redis with PostgreSQL (And It&amp;#039;s Faster) @ Polliog&amp;#039;s dev.to](https://dev.to/polliog/i-replaced-redis-with-postgresql-and-its-faster-4942).
- [Using PostgreSQL as a Dead Letter Queue for Event-Driven Systems @ Diljit&amp;#039;s Corner](https://www.diljitpr.net/blog-post-postgresql-dlq).
- [Introduction to PostgreSQL Indexes @ Dalto Curvelano](https://dlt.github.io/blog/posts/introduction-to-postgresql-indexes/).
- [Introducing: Postgres Best Practices @ supabase](https://supabase.com/blog/postgres-best-practices-for-ai-agents).
- [Postgres Postmaster does not scale @ recall.ai](https://www.recall.ai/blog/postgres-postmaster-does-not-scale).
- [Futureproofing Tines: Partitioning a 17TB table in PostgreSQL @ tines](https://www.tines.com/blog/futureproofing-tines-partitioning-a-17tb-table-in-postgresql/).
- [Database Indexing @ AkashSDas&amp;#039; Medium](https://medium.com/@akashsdas_dev/database-indexing-e10362624ed3).
- [Scaling PostgreSQL to power 800 million ChatGPT users @ OpenAI](https://openai.com/index/scaling-postgresql/).
- [Unlocking High-Performance PostgreSQL: Key Memory Optimizations @ Stormatics](https://stormatics.tech/blogs/unlocking-high-performance-postgresql-key-memory-optimizations).
- [Six Signs That Postgres Tuning Won&amp;#039;t Fix Your Performance Problems @ TigerData](https://www.tigerdata.com/blog/six-signs-postgres-tuning-wont-fix-performance-problems).
- [PostgreSQL Bloat Is a Feature, Not a Bug @ Roger Welin](https://rogerwelin.github.io/2026/02/11/postgresql-bloat-is-a-feature-not-a-bug/).
- [Read efficiency issues in Postgres queries @ pg mustard](https://www.pgmustard.com/blog/read-efficiency-issues-in-postgres-queries).
- [The real cost of random I/O @ Tomas Vondra](https://vondra.me/posts/the-real-cost-of-random-io/).
- [Production query plans without production data @ Boring SQL](https://boringsql.com/posts/portable-stats/).
- [Rust is slowly but surely eating PostgreSQL: Deep dive into Neon, ParadeDB, PgDog and more @ Sylvain Kerkour](https://kerkour.com/rust-eating-postgres).
- [How We Optimized Top K in Postgres @ ParadeDB](https://www.paradedb.com/blog/optimizing-top-k).
- [Using Rust and Postgres for everything: patterns learned over the years @ Sylvain Kerkour](https://kerkour.com/rust-postgres-everything).
- [Ctrl-C in psql gives me the heebie-jeebies @ Neon](https://neon.com/blog/ctrl-c-in-psql-gives-me-the-heebie-jeebies).
- [When upserts don&amp;#039;t update but still write: Debugging Postgres performance at scale @ Datadog](https://www.datadoghq.com/blog/engineering/debugging-postgres-performance/).
- [Introduction to PostgreSQL Indexes @ explain, analyze](https://dlt.github.io/blog/posts/introduction-to-postgresql-indexes/).
- [Keeping a Postgres queue healthy @ PlanetScale](https://planetscale.com/blog/keeping-a-postgres-queue-healthy).
- [I replaced my entire stack with Postgres... @ The Coding Gopher](https://www.youtube.com/watch?v=TdondBmyNXc).
-  [Does Postgres Scale? @ DBOS](https://www.dbos.dev/blog/benchmarking-workflow-execution-scalability-on-postgres).
- [The &amp;quot;Just Use Postgres&amp;quot; Trap @ CodeOpinion&amp;#039;s YouTube](https://www.youtube.com/watch?v=ACVevIlWEfM).
- [How we saved ~40GB of Postgres space wasted on indexes @ Ravi Ojha&amp;#039;s peer list](https://peerlist.io/raviojhax/articles/how-unused-indexes-ate-41gb-postgres).
- [Vos requêtes SQL jusqu&amp;#039;à 10000 fois plus rapides, durablement. - Alain LESAGE (DALIBO) @ Devoxx France&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=TAJKNBPv4Wc).
- [Handling graphs with SQL/PGQ in PostgreSQL @ Cybertec](https://www.cybertec-postgresql.com/en/handling-graphs-with-sql-pgq-in-postgresql/).
- [When failover isn’t safe: Building high-availability PostgreSQL on Kubernetes @ Datadog Engineering](https://www.datadoghq.com/blog/engineering/postgresql-ha-kubernetes/).
- [The only scalable delete in Postgres is DROP TABLE @ Planetscale](https://planetscale.com/blog/the-only-scalable-delete).
- [The NULL in your NOT IN @ boringSQL](https://boringsql.com/posts/not-in-null/).
- [The feedback loops behind Kubernetes @ Planetscale](https://planetscale.com/blog/the-feedback-loops-behind-kubernetes).
- [Too many tables are bad for you @ Cybertec](https://www.cybertec-postgresql.com/en/too-many-tables-are-bad/).
- [PostgreSQL and the OOM Killer: Why We Use Strict Memory Overcommit @ ubicloud](https://www.ubicloud.com/blog/postgresql-and-the-oom-killer-why-we-use-strict-memory-overcommit).
- [How to Achieve Pruning When Querying by Non-Partitioned Columns in PostgreSQL @ Haki Benita](https://hakibenita.com/postgresql-partition-pruning).
- [The four horsemen behind thousands of Postgres outages @ malisper.me](https://malisper.me/the-four-horsemen-behind-thousands-of-postgres-outages/).
- [PostgreSQL as a temporal database @ xata](https://xata.io/blog/postgres-as-a-temporal-db).
- [Repeatable Read vs Snapshot Isolation @ jaymcor.github.io](https://jaymcor.github.io/notes/isolation_rr_si.html).
- [The database that refused to die: How Postgres survived its own creators @ The Register](https://www.theregister.com/databases/2026/06/22/the-database-that-refused-to-die-how-postgres-survived-its-own-creators/5259716).
- [The startup&amp;#039;s Postgres survival guide @ Hatchet](https://hatchet.run/blog/postgres-survival-guide).
- [PostgreSQL&amp;#039;s MVCC is bad. So is everyone else&amp;#039;s @ Boring SQL](https://boringsql.com/posts/mvcc-bad-bad/).
- [The dangers of Postgres subtransactions @ Planetscale](https://planetscale.com/blog/the-dangers-of-postgres-subtransactions).
- [Massively parallel Postgres backups @ Planetscale](https://planetscale.com/blog/massively-parallel-postgres-backups).]]>
            </summary>
            <updated>2026-08-24T08:59:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2654</id>
            <title type="text"><![CDATA[RavenDB]]></title>
            <link rel="alternate" href="https://ravendb.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2654"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[NoSQL Database. Life is an Adventure — Your Database Shouldn&amp;#039;t Be.

ACID Document Database.

- [RavenDB @ GitHub](https://github.com/ravendb/ravendb).

Related contents:

- [Optimizing by 170,000%(!) by not being silly @ Oren Eini](https://ayende.com/blog/202147-A/optimizing-by-170-000-by-not-being-silly).]]>
            </summary>
            <updated>2025-08-28T23:19:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2671</id>
            <title type="text"><![CDATA[Dragonfly]]></title>
            <link rel="alternate" href="https://www.dragonflydb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2671"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Fastest In-Memory Data Store.  A modern replacement for Redis and Memcached.

Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores.

- [Dragonfly @ GitHub](https://github.com/dragonflydb/dragonfly).]]>
            </summary>
            <updated>2025-08-28T23:21:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2674</id>
            <title type="text"><![CDATA[TypeDB]]></title>
            <link rel="alternate" href="https://typedb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2674"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The power of programming, in your database.

TypeDB is a next-gen database with a modern programming paradigm that lets you build data applications faster, safer, and more elegantly. Its intuitive and powerful data model unifies the strengths of relational, document and graph databases without their shortcomings. TypeQL, its groundbreaking query language, is declarative, functional, and strongly-typed, drastically simplifying data handling and logic. So now, even the most nested and interconnected datasets can be managed with ease. With TypeDB, we’ve reinvented the database for the modern programming era.

- [TypeDB @ GitHub](https://github.com/typedb/typedb).]]>
            </summary>
            <updated>2025-08-28T23:22:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2687</id>
            <title type="text"><![CDATA[Doctrine JSON ODM]]></title>
            <link rel="alternate" href="https://github.com/dunglas/doctrine-json-odm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2687"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An Object-Document Mapper (ODM) for Doctrine ORM leveraging new JSON types of modern RDBMS.]]>
            </summary>
            <updated>2025-08-28T23:25:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2688</id>
            <title type="text"><![CDATA[Debezium]]></title>
            <link rel="alternate" href="https://debezium.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2688"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong. 

- [Debezium @ GitHub](https://github.com/debezium/debezium).

Related contents:

- [Code first CDC from Postgres to ClickHouse with Debezium, Redpanda, and MooseStack @ Fileonefour](https://www.fiveonefour.com/blog/cdc-postgres-to-clickhouse-debezium-drizzle)
  ([Code-First CDC to ClickHouse with Debezium, Redpanda, and MooseStack @ GitHub](https://github.com/514-labs/debezium-cdc)).
- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).
- [The Equality Delete Problem in Apache Iceberg @ Data Engineer Things&amp;#039; Medium](https://blog.dataengineerthings.org/the-equality-delete-problem-in-apache-iceberg-143dd451a974).
- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).
- [Keep your cache always fresh with Debezium! (Current 22) @ SpeakerDeck](https://speakerdeck.com/gunnarmorling/keep-your-cache-always-fresh-with-debezium-current-22).
- [A Deep Dive Into Ingesting Debezium Events From Kafka With Flink SQL @ Gunnar Morling](https://www.morling.dev/blog/ingesting-debezium-events-from-kafka-with-flink-sql/).
- [The challenges of soft delete @ atlas9 blog](https://atlas9.dev/blog/soft-delete.html).]]>
            </summary>
            <updated>2026-01-21T13:11:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2689</id>
            <title type="text"><![CDATA[WeSQL]]></title>
            <link rel="alternate" href="https://wesql.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2689"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Agile MySQL with S3-Based Storage.
Improving the popular MySQL to be more developer-friendly and easier to manage, streamlining your app lifecycle.

WeSQL is an innovative MySQL distribution that adopts a compute-storage separation architecture, with storage backed by S3 (and S3-compatible systems). It can run on any cloud, ensuring no vendor lock-in. 

- [WeSQL @ GitHub](https://github.com/wesql/wesql).]]>
            </summary>
            <updated>2025-08-28T23:25:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2690</id>
            <title type="text"><![CDATA[SQLiteStudio]]></title>
            <link rel="alternate" href="https://sqlitestudio.pl/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2690"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create, edit, browse SQLite databases.

- [SQLiteStudio @ GitHub](https://github.com/pawelsalawa/sqlitestudio).]]>
            </summary>
            <updated>2025-08-28T23:25:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2755</id>
            <title type="text"><![CDATA[bknd]]></title>
            <link rel="alternate" href="https://bknd.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2755"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[⚡ Lightweight Firebase alternative built to run anywhere.

Experience the power of a lightweight, feature-rich backend that seamlessly integrates into your framework of choice. Start building smarter today.

bknd simplifies app development by providing fully functional backend for data management, authentication, workflows and media. Since it&amp;#039;s lightweight and built on Web Standards, it can be deployed nearly anywhere, including running inside your framework of choice. No more deploying multiple separate services!

- [bknd @ GitHub](https://github.com/bknd-io/bknd).]]>
            </summary>
            <updated>2025-08-28T23:35:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2761</id>
            <title type="text"><![CDATA[PostgreSQL Workload Analyzer (PoWA)]]></title>
            <link rel="alternate" href="https://powa.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2761"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[_PoWA_ is a PostgreSQL Workload Analyzer that gathers performance stats and
provides real-time charts and graphs to help monitor and tune your PostgreSQL
servers.

- [PoWA @ GitHub](https://github.com/powa-team/powa).
- [Linux Pratique - Supervision d&amp;#039;une instance PostgreSQL @ Dalibo :fr:](https://blog.dalibo.com/2024/11/18/lp4.html).]]>
            </summary>
            <updated>2025-08-28T23:37:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2762</id>
            <title type="text"><![CDATA[Dalibo Labs]]></title>
            <link rel="alternate" href="https://labs.dalibo.com/pg_activity" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2762"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[`pg_activity` is a top like application for PostgreSQL server activity
monitoring.

- [pg_activity @ GitHub](https://github.com/dalibo/pg_activity).
- [Linux Pratique - Supervision d&amp;#039;une instance PostgreSQL @ Dalibo :fr:](https://blog.dalibo.com/2024/11/18/lp4.html).]]>
            </summary>
            <updated>2025-08-28T23:37:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2763</id>
            <title type="text"><![CDATA[temBoard]]></title>
            <link rel="alternate" href="https://labs.dalibo.com/temboard" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2763"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL Remote Control.

_temBoard_ is a powerful management tool for PostgreSQL.
It allows to observe, optimize, or configure PostgreSQL instances.

- [temBoard @ GitHub](https://github.com/dalibo/temboard/).
- [Linux Pratique - Supervision d&amp;#039;une instance PostgreSQL @ Dalibo :fr:](https://blog.dalibo.com/2024/11/18/lp4.html).]]>
            </summary>
            <updated>2025-08-28T23:37:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2764</id>
            <title type="text"><![CDATA[pgBadger]]></title>
            <link rel="alternate" href="https://pgbadger.darold.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2764"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL log analyzer.

_pgBadger_ is a PostgreSQL log analyzer built for speed with fully detailed
reports and professional rendering.

- [pgBadger @ GitHub](https://github.com/darold/pgbadger/).
- [Linux Pratique - Supervision d&amp;#039;une instance PostgreSQL @ Dalibo :fr:](https://blog.dalibo.com/2024/11/18/lp4.html).
- [Analyse des traces de PostgreSQL avec pgBadger @ Diamond Connect :fr:](https://connect.ed-diamond.com/linux-pratique/lphs-054/analyse-des-traces-de-postgresql-avec-pgbadger).]]>
            </summary>
            <updated>2025-08-28T23:37:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2783</id>
            <title type="text"><![CDATA[postgrestest]]></title>
            <link rel="alternate" href="https://github.com/stapelberg/postgrestest" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2783"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Go test harness that starts an ephemeral PostgreSQL server.

Package postgrestest provides a test harness that starts an ephemeral PostgreSQL server. It is tested on macOS, Linux, and Windows. It can cut down the overhead of PostgreSQL in tests up to 90% compared to spinning up a postgres Docker container: starting a server with this package takes roughly 650 milliseconds and creating a database takes roughly 20 milliseconds.

- [Testing with Go and PostgreSQL: ephemeral DBs @ Michael Stapelberg](https://michael.stapelberg.ch/posts/2024-11-19-testing-with-go-and-postgresql-ephemeral-dbs/).]]>
            </summary>
            <updated>2025-08-28T23:41:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2795</id>
            <title type="text"><![CDATA[Fireproof]]></title>
            <link rel="alternate" href="https://fireproof.storage/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2795"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[cloudless database for realtime apps.

Realtime database, runs anywhere. Install Fireproof in your front-end app or edge function, and sync data via any backend. 

Add collaboration to any app with Fireproof. Access data from JavaScript servers and edge functions. Use live queries to update your UI automatically when the ledger changes. Connect realtime sync and those changes will sync between browsers and backend functions. Apps built this way are multi-player by default.

- [Fireproof @ GitHub](https://github.com/fireproof-storage/fireproof/).

Source: [Fireproof - une base de données moderne pour les applications Web @ Korben :fr:](https://korben.info/fireproof-base-donnees-moderne-applications-web.html).]]>
            </summary>
            <updated>2025-08-28T23:42:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2814</id>
            <title type="text"><![CDATA[Chroma]]></title>
            <link rel="alternate" href="https://www.trychroma.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2814"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the AI-native open-source embedding database.  The fastest way to build Python or JavaScript LLM apps with memory! 
Chroma is the open-source AI application database. Batteries included.

Embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal. All in one place. Retrieval that just works. As it should be.

- [Chroma @ GitHub](https://github.com/chroma-core/chroma).

Related contents:

- [ChromaDB: An Open-source vector embedding database @ Futuresmart AI Blog](https://blog.futuresmart.ai/chromadb-an-open-source-vector-embedding-database).
- [How to Build a Local RAG App with Ollama and ChromaDB in the R Programming Language @ freeCodeCamp](https://www.freecodecamp.org/news/build-a-local-rag-app-with-ollama-and-chromadb-in-r/).]]>
            </summary>
            <updated>2026-02-09T16:46:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2827</id>
            <title type="text"><![CDATA[pgroll]]></title>
            <link rel="alternate" href="https://github.com/xataio/pgroll" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2827"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL zero-downtime migrations made easy.

pgroll is an open source command-line tool that offers safe and reversible schema migrations for PostgreSQL by serving multiple schema versions simultaneously. It takes care of the complex migration operations to ensure that client applications continue working while the database schema is being updated. This includes ensuring changes are applied without locking the database, and that both old and new schema versions work simultaneously (even when breaking changes are being made!). This removes risks related to schema migrations, and greatly simplifies client application rollout, also allowing for instant rollbacks.]]>
            </summary>
            <updated>2025-08-28T23:47:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2834</id>
            <title type="text"><![CDATA[libSQL]]></title>
            <link rel="alternate" href="https://github.com/tursodatabase/libsql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2834"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[libSQL is a fork of SQLite that is both Open Source, and Open Contributions. 

We aim to evolve it to suit many more use cases than SQLite was originally designed for, and plan to use third-party OSS code wherever it makes sense.]]>
            </summary>
            <updated>2025-08-28T23:49:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2835</id>
            <title type="text"><![CDATA[AgensGraph]]></title>
            <link rel="alternate" href="https://github.com/BitnineGlobal/agensgraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2835"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AgensGraph is a cutting-edge multi-model graph database designed for modern complex data environments. By supporting both relational and graph data models simultaneously, AgensGraph allows developers to seamlessly integrate legacy relational data with the flexible graph data model within a single database. AgensGraph is built on the robust PostgreSQL RDBMS, providing a highly reliable, fully-featured platform ready for enterprise use.]]>
            </summary>
            <updated>2025-08-28T23:49:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2847</id>
            <title type="text"><![CDATA[React Query Builder]]></title>
            <link rel="alternate" href="https://react-querybuilder.js.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2847"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Query Builder Component for React.

React Query Builder is a fully customizable query builder component for React, along with a collection of utility functions for importing from, and exporting to, various query languages like SQL, MongoDB, and more.

- [React Query Builder @ GitHub](https://github.com/react-querybuilder/react-querybuilder).]]>
            </summary>
            <updated>2025-08-28T23:51:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2850</id>
            <title type="text"><![CDATA[SQL style guide]]></title>
            <link rel="alternate" href="https://www.sqlstyle.guide/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2850"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A consistent code style guide for SQL to ensure legible and maintainable projects.

- [SQL style guide @ GitHub](https://github.com/treffynnon/sqlstyle.guide).]]>
            </summary>
            <updated>2025-08-28T23:51:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2897</id>
            <title type="text"><![CDATA[SQLMap Command Generator]]></title>
            <link rel="alternate" href="https://acorzo1983.github.io/SQLMapCG/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2897"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A web-based tool to easily generate customizable SQLMap commands for testing SQL injection vulnerabilities. Features include target configuration, connection options, detection levels, and various SQL injection techniques. Perfect for penetration testers and security enthusiasts. 

- [SQLMap Command Generator @ GitHub](https://github.com/acorzo1983/SQLMapCG/).]]>
            </summary>
            <updated>2025-08-28T23:59:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2931</id>
            <title type="text"><![CDATA[BemiDB]]></title>
            <link rel="alternate" href="https://bemidb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2931"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Zero-ETL data analytics with Postgres.

Simple and cost-effective cloud analytics platform automatically synced with your data sources.

BemiDB is a Postgres read replica optimized for analytics. It consists of a single binary that seamlessly connects to a Postgres database, replicates the data in a compressed columnar format, and allows you to run complex queries using its Postgres-compatible analytical query engine.

- [BemiDB @ GitHub](https://github.com/BemiHQ/BemiDB).]]>
            </summary>
            <updated>2025-08-29T00:06:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2976</id>
            <title type="text"><![CDATA[sled]]></title>
            <link rel="alternate" href="https://github.com/spacejam/sled" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2976"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An embedded database. the champagne of beta embedded databases.]]>
            </summary>
            <updated>2025-08-29T00:12:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2980</id>
            <title type="text"><![CDATA[ChartDB]]></title>
            <link rel="alternate" href="https://chartdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2980"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database schema diagrams visualizer.  Open-source database diagrams editor.

Free and open-source database diagrams editor, visualize and design your DB with a single query. 

ChartDB is a powerful, web-based database diagramming editor. Instantly visualize your database schema with a single &amp;quot;Smart Query.&amp;quot; Customize diagrams, export SQL scripts, and access all features—no account required. Experience seamless database design here.

- [ChartDB @ GitHub](https://github.com/chartdb/chartdb).]]>
            </summary>
            <updated>2025-09-04T09:31:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2983</id>
            <title type="text"><![CDATA[Etebase]]></title>
            <link rel="alternate" href="https://www.etebase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2983"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your end-to-end encrypted backend.

Etebase makes it easy to build end-to-end encrypted applications by taking care of the encryption and its related challenges.
Think Firebase but encrypted in a way that only end-users can access their data.

- [Etebase @ GitHub](https://github.com/etesync).
- [Episode 135: Rebuilding For the Last Time @ Self-Hosted](https://selfhosted.show/135).]]>
            </summary>
            <updated>2025-08-29T00:13:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2989</id>
            <title type="text"><![CDATA[pg_flo]]></title>
            <link rel="alternate" href="https://www.pgflo.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2989"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Stream, transform, and route PostgreSQL data in real-time.
The easiest way to move and transform data between PostgreSQL databases using Logical Replication.

pg_flo leverages PostgreSQL&amp;#039;s logical replication system to capture and stream data changes. It uses NATS as a message broker to decouple reading from the WAL through the replicator and worker processes, providing flexibility and scalability. Transformations and filtrations are applied before the data reaches the destination.

- [pg_flo @ GitHub](https://github.com/shayonj/pg_flo).]]>
            </summary>
            <updated>2025-08-29T00:14:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3013</id>
            <title type="text"><![CDATA[Apache CouchDB]]></title>
            <link rel="alternate" href="https://couchdb.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3013"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Seamless multi-master sync, that scales from Big Data to Mobile, with an Intuitive HTTP/JSON API and designed for Reliability.

CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents with your web browser, via HTTP. Query, combine, and transform your documents with JavaScript. CouchDB works well with modern web and mobile apps. You can distribute your data, efficiently using CouchDB’s incremental replication. CouchDB supports master-master setups with automatic conflict detection.

Related contents:

- [How to Sync Anything @ Neighbourhoodie Software](https://neighbourhood.ie/blog/2025/04/06/how-to-sync-anything).
- [Offline-First with CouchDB and PouchDB in 2025 @ Neighbourhoodie Software](https://neighbourhood.ie/blog/2025/03/26/offline-first-with-couchdb-and-pouchdb-in-2025).]]>
            </summary>
            <updated>2025-08-29T00:18:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3025</id>
            <title type="text"><![CDATA[SQL tips and tricks]]></title>
            <link rel="alternate" href="https://github.com/ben-n93/SQL-tips-and-tricks" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3025"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A (somewhat opinionated) list of SQL tips and tricks that I&amp;#039;ve picked up over the years.

There&amp;#039;s so much you can you do with SQL but I&amp;#039;ve focused on what I find most useful in my day-to-day work as a data analyst and what I wish I had known when I first started writing SQL.

- [OpenLampTech No. 154](https://openlamptech.substack.com/p/openlamptech-no-154).]]>
            </summary>
            <updated>2025-08-29T00:20:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3100</id>
            <title type="text"><![CDATA[Anyquery]]></title>
            <link rel="alternate" href="https://anyquery.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3100"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Use SQL for everything. Query anything with old-school cool SQL.

Anyquery is a CLI tool to run SQL queries on any data source, no matter if it&amp;#039;s a file, an API, logs, or a local app.
See the integrations for the full extent of what you can do. 

- [Anyquery @ GitHub](https://github.com/julien040/anyquery).]]>
            </summary>
            <updated>2025-08-29T00:33:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3105</id>
            <title type="text"><![CDATA[pganalyze]]></title>
            <link rel="alternate" href="https://pganalyze.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3105"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres performance at any scale. PostgreSQL Tuning

Deliver consistent database performance and availability through intelligent tuning advisors and continuous database profiling.]]>
            </summary>
            <updated>2025-08-29T00:34:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3108</id>
            <title type="text"><![CDATA[Solid Queue]]></title>
            <link rel="alternate" href="https://github.com/rails/solid_queue" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3108"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database-backed Active Job backend.

Solid Queue is a DB-based queuing backend for Active Job, designed with simplicity and performance in mind.

Besides regular job enqueuing and processing, Solid Queue supports delayed jobs, concurrency controls, recurring jobs, pausing queues, numeric priorities per job, priorities by queue order, and bulk enqueuing (enqueue_all for Active Job&amp;#039;s perform_all_later).

- [Episode 592 - C++ Safety Dance @ &amp;lt;Coder Radio&amp;gt;](https://coder.show/592)]]>
            </summary>
            <updated>2025-08-29T00:34:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3117</id>
            <title type="text"><![CDATA[Vanna.AI]]></title>
            <link rel="alternate" href="https://vanna.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3117"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. 

Personalized AI SQL Agent. Let Vanna.AI write your SQL for you

The fastest way to get actionable insights from your database just by asking questions.

- [Vanna @ GitHub](https://github.com/vanna-ai/vanna).]]>
            </summary>
            <updated>2025-08-29T00:36:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3118</id>
            <title type="text"><![CDATA[A performance dashboard for Postgres]]></title>
            <link rel="alternate" href="https://github.com/ankane/pghero" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3118"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A performance dashboard for Postgres]]>
            </summary>
            <updated>2025-08-29T00:36:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3119</id>
            <title type="text"><![CDATA[drawDB]]></title>
            <link rel="alternate" href="https://www.drawdb.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3119"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free, simple, and intuitive online database diagram editor and SQL generator. 

DrawDB is a robust and user-friendly database entity relationship (DBER) editor right in your browser. Build diagrams with a few clicks, export sql scripts, customize your editor, and more without creating an account. See the full set of features here.

- [drawDB @ GitHub](https://github.com/drawdb-io/drawdb).]]>
            </summary>
            <updated>2025-08-29T00:36:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3166</id>
            <title type="text"><![CDATA[Drasi]]></title>
            <link rel="alternate" href="https://drasi.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3166"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Drasi makes it easy and efficient to detect and react to changes in databases.

Drasi is a data processing platform that simplifies detecting changes in data and taking immediate action. It is a comprehensive solution that provides built-in capabilities to track system logs and change feeds for specific events, evaluate them for relevance, and automatically initiate appropriate reactions.

- [Drasi @ GitHub](https://github.com/drasi-project/drasi-platform).

Related contents:

- [Drasi: Microsoft’s newest open-source project simplifies change detection and reaction in complex systems @ Microsoft Blog](https://azure.microsoft.com/en-us/blog/drasi-microsofts-newest-open-source-project-simplifies-change-detection-and-reaction-in-complex-systems/).]]>
            </summary>
            <updated>2025-08-29T00:44:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3187</id>
            <title type="text"><![CDATA[TablePlus]]></title>
            <link rel="alternate" href="https://tableplus.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3187"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Modern, Native Tool for Database Management.
Modern, native, and friendly GUI tool for relational databases: MySQL, PostgreSQL, SQLite &amp;amp; more

- [097 - Nos meilleurs apps pour le développement @ Double Slash :fr:](https://double-slash.dev/podcasts/tools-24/).]]>
            </summary>
            <updated>2025-08-29T00:48:41+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3227</id>
            <title type="text"><![CDATA[Greenmask]]></title>
            <link rel="alternate" href="https://www.greenmask.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3227"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL database anonymization and synthetic data generation tool . Open Source Data Anonymization Software Empowering a Test Data Management Approach

Greenmask provides a secure toolset to transform your database while maintaining integrity, creating a staging environment that mirrors production data and ensures efficient testing without compromising information.

- [Greenmask @ GitHub](https://github.com/GreenmaskIO/greenmask).]]>
            </summary>
            <updated>2025-08-29T00:54:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3232</id>
            <title type="text"><![CDATA[Sequel Pro]]></title>
            <link rel="alternate" href="https://sequelpro.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3232"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MySQL/MariaDB database management for macOS.
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL &amp;amp; MariaDB databases.

- [Sequel Pro @ GitHub](https://github.com/sequelpro/sequelpro).
- [097 - Nos meilleurs apps pour le développement @ Double Slash :fr:](https://double-slash.dev/podcasts/tools-24/).]]>
            </summary>
            <updated>2025-08-29T00:56:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3303</id>
            <title type="text"><![CDATA[Apache Hadoop]]></title>
            <link rel="alternate" href="https://hadoop.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3303"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Apache® Hadoop® project develops open-source software for reliable, scalable, distributed computing.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

- [Apache Hadoop @ GitHub](https://github.com/apache/hadoop).

Related contents:

- [Why NoSQL Deployments Are Failing at Scale @ The New Stack](https://thenewstack.io/why-nosql-deployments-are-failing-at-scale/).
- [From SSH to REST: A Security-Driven Modernization of Slack’s EMR Data Pipelines @ slack engineering](https://slack.engineering/from-ssh-to-rest-a-security-driven-modernization-of-slacks-emr-data-pipelines/).]]>
            </summary>
            <updated>2026-05-15T13:44:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3323</id>
            <title type="text"><![CDATA[sq]]></title>
            <link rel="alternate" href="https://sq.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3323"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[wrangle data.

sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. It is the lovechild of sql+jq.

- [sq @ GitHub](https://github.com/neilotoole/sq).]]>
            </summary>
            <updated>2025-08-29T01:10:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3325</id>
            <title type="text"><![CDATA[Jazz]]></title>
            <link rel="alternate" href="https://jazz.tools/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3325"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Instant sync. A new way to build apps with distributed state.

Jazz is an open-source toolkit for building apps with distributed state.

- [Jazz @ GitHub](https://github.com/gardencmp/jazz).

Related contents:

- [Linear sent me down a local-first rabbit hole @ Bytemash](https://bytemash.net/posts/i-went-down-the-linear-rabbit-hole/).]]>
            </summary>
            <updated>2025-08-29T01:10:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3334</id>
            <title type="text"><![CDATA[Starbase]]></title>
            <link rel="alternate" href="https://starbasedb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3334"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQLite on the edge.

HTTP SQLite scale-to-zero database on the edge built on Cloudflare Durable Objects. 
 Open source, scale-to-zero, HTTP SQLite database built on top of Cloudflare Durable Objects. 

- [Starbase @ GitHub](https://github.com/brayden/starbasedb).]]>
            </summary>
            <updated>2025-08-29T01:12:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3335</id>
            <title type="text"><![CDATA[Percona Everest]]></title>
            <link rel="alternate" href="https://docs.percona.com/everest/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3335"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Percona Everest is a cloud-native database platform to deploy and manage enterprise-grade PostgreSQL, MongoDB and MySQL database clusters. 

- [Percona Everest @ GitHub](https://github.com/percona/everest).]]>
            </summary>
            <updated>2025-08-29T01:12:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3342</id>
            <title type="text"><![CDATA[pgsql-http]]></title>
            <link rel="alternate" href="https://github.com/pramsey/pgsql-http" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3342"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[HTTP client for PostgreSQL, retrieve a web page from inside the database.]]>
            </summary>
            <updated>2025-08-29T01:13:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3382</id>
            <title type="text"><![CDATA[MotherDuck]]></title>
            <link rel="alternate" href="https://motherduck.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3382"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ducking Simple Data Warehouse based on DuckDB.

- [Your October Dose of Data - October 2024 @ Data Council](https://mailchi.mp/datacouncil/october-2024).]]>
            </summary>
            <updated>2025-08-29T01:20:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3396</id>
            <title type="text"><![CDATA[Proof of SQL]]></title>
            <link rel="alternate" href="https://github.com/spaceandtimelabs/sxt-proof-of-sql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Proof of SQL is a high performance zero knowledge (ZK) prover developed by the Space and Time team, which cryptographically guarantees SQL queries were computed accurately against untampered data. It targets online latencies while proving computations over entire chain histories, an order of magnitude faster than state-of-the art zkVMs and coprocessors.]]>
            </summary>
            <updated>2025-08-29T01:22:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3399</id>
            <title type="text"><![CDATA[Materialize]]></title>
            <link rel="alternate" href="https://materialize.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3399"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Cloud Operational Data Store. Use SQL to transform, deliver, and act on fast-changing data.

Materialize is a cloud-native data warehouse purpose-built for operational workloads where an analytical data warehouse would be too slow, and a stream processor would be too complicated.

Using SQL and common tools in the wider data ecosystem, Materialize allows you to build real-time automation, engaging customer experiences, and interactive data products that drive value for your business while reducing the cost of data freshness.

- [Materialize @ GitHub](https://github.com/MaterializeInc/materialize).]]>
            </summary>
            <updated>2025-08-29T01:22:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3408</id>
            <title type="text"><![CDATA[Sequelize]]></title>
            <link rel="alternate" href="https://sequelize.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3408"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Feature-rich ORM for modern TypeScript &amp;amp; JavaScript.

Sequelize is a modern TypeScript and Node.js ORM for Oracle, Postgres, MySQL, MariaDB, SQLite and SQL Server, and more. Featuring solid transaction support, relations, eager and lazy loading, read replication and more.

- [Sequelize @ GitHub](https://github.com/sequelize/sequelize).
- [Raw SQL Queries are Actually Better for Security Than ORMs? @ Node.js Security](https://www.nodejs-security.com/blog/raw-sql-queries-better-for-security-than-orms).]]>
            </summary>
            <updated>2025-08-29T01:25:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3446</id>
            <title type="text"><![CDATA[FerretDB]]></title>
            <link rel="alternate" href="https://www.ferretdb.com/?ref=selfh.st" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3446"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[FerretDB allows you to use MongoDB drivers seamlessly with PostgreSQL as the database backend. Use all tools, drivers, UIs, and the same query language and stay open-source. 

- [FerretDB @ GitHub](https://github.com/FerretDB/FerretDB).]]>
            </summary>
            <updated>2025-08-29T01:31:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3447</id>
            <title type="text"><![CDATA[PostgreSQL: ltree — hierarchical tree-like data type]]></title>
            <link rel="alternate" href="https://www.postgresql.org/docs/current/ltree.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3447"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This module implements a data type ltree for representing labels of data stored in a hierarchical tree-like structure. Extensive facilities for searching through label trees are provided.

Related contents:

- [Hierarchical data types @ Florent Jardin](https://fljd.in/en/2024/09/19/hierarchical-data-types/).
- [Hierarchical Data in SQL: The Ultimate Guide @ Database Star](https://www.databasestar.com/hierarchical-data-sql/).]]>
            </summary>
            <updated>2025-08-29T01:31:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3473</id>
            <title type="text"><![CDATA[meilibridge]]></title>
            <link rel="alternate" href="https://github.com/ja7ad/meilibridge" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3473"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[meilibridge is a robust package designed to seamlessly sync data from both SQL and NoSQL databases to Meilisearch, providing an efficient and unified search solution. 

- [Veille de la semaine du 5 août 2024 @ Veille de la semaine&amp;#039;s Substack :fr:](https://guikingone.substack.com/p/veille-de-la-semaine-du-5-aout-2024)]]>
            </summary>
            <updated>2025-08-29T01:35:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3476</id>
            <title type="text"><![CDATA[PGlite]]></title>
            <link rel="alternate" href="https://pglite.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3476"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Embeddable Postgres. Run a full Postgres database locally in WASM with reactivity and live sync. Lightweight WASM Postgres with real-time, reactive bindings. 

PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js, Bun and Deno, with no need to install any other dependencies. It is only 3mb gzipped and has support for many Postgres extensions, including pgvector.

- [PGlite @ GitHub](https://github.com/electric-sql/pglite).

Related contents:

- [Épisode \#108 - Les news web dev pour Mars 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mars-rc2/).
- [Lessons learned from building a sync-engine and reactivity system with SQLite @ Antoine&amp;#039;s blog](https://www.finkelstein.fr/sqlite-sync-engine-with-reactivity).]]>
            </summary>
            <updated>2025-08-29T01:37:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3553</id>
            <title type="text"><![CDATA[SlateDB]]></title>
            <link rel="alternate" href="https://slatedb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3553"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An embedded database built on object storage.

Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage to provide bottomless storage capacity, high durability, and easy replication.

SlateDB is an embedded storage engine built as a log-structured merge-tree. Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage (S3, GCS, ABS, MinIO, Tigris, and so on). Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy replication. The trade-off is that object storage has a higher latency and higher API cost than local disk.

- [SlateDB @ GitHub](https://github.com/slatedb/slatedb).

Related contents:

- [opendata](https://www.opendata.dev/).
- [the broken economics of databases @ bits&amp;amp;pages](https://www.bitsxpages.com/p/the-broken-economics-of-databases).]]>
            </summary>
            <updated>2026-03-24T13:29:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3571</id>
            <title type="text"><![CDATA[Dgraph]]></title>
            <link rel="alternate" href="https://dgraph.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3571"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source, AI-Ready Graph Database.

Designed from the ground up to be run in production, Dgraph is the native GraphQL database with a graph backend. It is open-source, scalable, distributed, highly available and lightning fast. 

- [Dgraph @ GitHub](https://github.com/dgraph-io/dgraph).]]>
            </summary>
            <updated>2025-08-29T01:53:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3574</id>
            <title type="text"><![CDATA[Apache IoTDB]]></title>
            <link rel="alternate" href="https://iotdb.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3574"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. 

- [Apache IoTDB @ GitHub](https://github.com/apache/iotdb).]]>
            </summary>
            <updated>2025-08-29T01:53:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3593</id>
            <title type="text"><![CDATA[H3]]></title>
            <link rel="alternate" href="https://h3geo.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3593"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hexagonal hierarchical geospatial indexing system.

H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2&amp;#039;s hierarchical subdivisions.

- [H3 @ GitHub](https://github.com/uber/h3).

Related contents:

- [Harder, Better, Faster, Stronger version of Uber H3 in Rust: The Hydronium Project @ grim7reaper](https://grim7reaper.github.io/blog/2023/01/09/the-hydronium-project/).
- [How we made geo joins 400× faster with H3 indexes @ Floe](https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes?utm_source=tldrdev#).]]>
            </summary>
            <updated>2026-02-09T13:04:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3621</id>
            <title type="text"><![CDATA[The Art of Problem-Solving in Software Engineering:How to Make MySQL Better]]></title>
            <link rel="alternate" href="https://advancedmysql.github.io/The-Art-of-Problem-Solving-in-Software-Engineering_How-to-Make-MySQL-Better/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3621"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This book uses MySQL challenges as case studies to explore problem analysis and resolution strategies. Readers will gain a deeper appreciation for logical reasoning, data structures, algorithms, and more through practical examples and insightful discussions.

- [The Art of Problem-Solving in Software Engineering:How to Make MySQL Better @ GitHub](https://github.com/advancedmysql/The-Art-of-Problem-Solving-in-Software-Engineering_How-to-Make-MySQL-Better).]]>
            </summary>
            <updated>2025-08-29T02:01:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3654</id>
            <title type="text"><![CDATA[The Querynomicon]]></title>
            <link rel="alternate" href="https://gvwilson.github.io/sql-tutorial/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3654"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Upon first encountering SQL after two decades of Fortran, C, Java, and Python, I thought I had stumbled into hell. I quickly realized that was optimistic: after all, hell has rules.

I have since realized that SQL does too, and that they are no more confusing or contradictory than those of most other programming languages. They only appear so because it draws on a tradition unfamiliar to those of us raised with derivatives of C. To quote Terry Pratchett, it is not mad, just differently sane.

Welcome, then, to a world in which the strange will become familiar, and the familiar, strange. Welcome, thrice welcome, to SQL.

- [The Querynomicon: An Introduction to SQL for Weary Data Scientists @ GitHub](https://github.com/gvwilson/sql-tutorial).]]>
            </summary>
            <updated>2025-08-29T02:05:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3657</id>
            <title type="text"><![CDATA[PGTune]]></title>
            <link rel="alternate" href="https://pgtune.leopard.in.ua/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3657"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PGTune calculate configuration for PostgreSQL based on the maximum performance for a given hardware configuration.

It isn&amp;#039;t a silver bullet for the optimization settings of PostgreSQL. Many settings depend not only on the hardware configuration, but also on the size of the database, the number of clients and the complexity of queries. An optimal configuration of the database can only be made given all these parameters are taken into account.

- [PGTune @ GitHub](https://github.com/le0pard/pgtune).]]>
            </summary>
            <updated>2025-08-29T02:05:45+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3680</id>
            <title type="text"><![CDATA[Instant]]></title>
            <link rel="alternate" href="https://www.instantdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3680"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The realtime client-side database.

Instant is a client-side database that makes it easy to build real-time and collaborative apps like Notion or Figma.

- [Instant @ GitHub](https://github.com/instantdb/instant).

Related contents:

- [La veille des Ours n°32 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n32-bearstech-adpzf/).]]>
            </summary>
            <updated>2025-08-29T02:10:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3683</id>
            <title type="text"><![CDATA[ArcticDB]]></title>
            <link rel="alternate" href="https://arcticdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3683"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ArcticDB is a  DataFrame Database.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem. 
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real world data with Incredibly fast proven Petabyte scale.

- [ArticDB @ GitHub](https://github.com/man-group/ArcticDB).
- [La veille des Ours n°32 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n32-bearstech-adpzf/).]]>
            </summary>
            <updated>2025-08-29T02:10:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3705</id>
            <title type="text"><![CDATA[dblab]]></title>
            <link rel="alternate" href="https://github.com/danvergara/dblab" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3705"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The database client every command line junkie deserves. 

Interactive client for PostgreSQL, MySQL, SQLite3, Oracle and SQL Server.

- [La veille des Ours n°31 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n31-bearstech-gbmgf/).]]>
            </summary>
            <updated>2025-08-29T02:14:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3812</id>
            <title type="text"><![CDATA[MySQL Visual Explain]]></title>
            <link rel="alternate" href="https://mysqlexplain.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3812"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual EXPLAIN for MySQL

Research a slow query&amp;#039;s performance problems on a simple visualization instead of trying to understand MySQL&amp;#039;s cryptic output.]]>
            </summary>
            <updated>2025-08-29T02:31:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3820</id>
            <title type="text"><![CDATA[CloudBeaver]]></title>
            <link rel="alternate" href="https://github.com/dbeaver/cloudbeaver" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3820"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CloudBeaver is a web server which provides rich web interface. Server itself is a Java application, web part is written on TypeScript and React.]]>
            </summary>
            <updated>2025-08-29T02:33:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3840</id>
            <title type="text"><![CDATA[Teable]]></title>
            <link rel="alternate" href="https://teable.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3840"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres-Airtable Fusion.

Super fast, Real-time, Professional, Developer-friendly, No-code database.
Teable is a Super fast, Real-time, Professional, Developer friendly, No-code database built on Postgres. It uses a simple, spreadsheet-like interface to create complex enterprise-level database applications. Unlock efficient app development with no-code, free from the hurdles of data security and scalability. 

- [Teable @ GitHub](https://github.com/teableio/teable).]]>
            </summary>
            <updated>2025-08-29T02:37:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3851</id>
            <title type="text"><![CDATA[NocoDB Cloud]]></title>
            <link rel="alternate" href="https://nocodb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3851"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Databases As Spreadsheets :No-Coding Required.

NocoDB allows building no-code database solutions with ease of spreadsheets.
Bring your own database or choose ours! Millions of rows? Not a problem.
Your Data. Your rules. You are in control.

🔥 🔥 🔥 Open Source Airtable Alternative.  Turns any MySQL, PostgreSQL, SQL Server, SQLite &amp;amp; MariaDB into a smart spreadsheet. 

- [NocoDB @ GitHub](https://github.com/nocodb/nocodb).]]>
            </summary>
            <updated>2025-08-29T02:38:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3855</id>
            <title type="text"><![CDATA[sqlite-vec]]></title>
            <link rel="alternate" href="https://github.com/asg017/sqlite-vec" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3855"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A vector search SQLite extension that runs anywhere!

- [Veille de la semaine du 5 août 2024 @ Veille de la semaine&amp;#039;s Substack :fr:](https://guikingone.substack.com/p/veille-de-la-semaine-du-5-aout-2024).
- [sqlite-vec now supports metadata columns and filtering @ Alex Garcia&amp;#039;s Blog](https://alexgarcia.xyz/blog/2024/sqlite-vec-metadata-release/index.html).]]>
            </summary>
            <updated>2025-08-29T02:39:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3882</id>
            <title type="text"><![CDATA[UFO Backup (formerly PG Back Web)]]></title>
            <link rel="alternate" href="https://ufobackup.uforg.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3882"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐘 Effortless PostgreSQL backups with a user-friendly web interface! 🌐💾

- [PG Back Web @ GitHub](https://github.com/eduardolat/pgbackweb)]]>
            </summary>
            <updated>2025-10-06T05:58:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3930</id>
            <title type="text"><![CDATA[PGVecto.rs]]></title>
            <link rel="alternate" href="https://pgvecto.rs/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3930"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. 

PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.

- [PGvector.rs documentation](https://docs.pgvecto.rs/).
- [PGvector.rs @ GitHub](https://github.com/tensorchord/pgvecto.rs).]]>
            </summary>
            <updated>2025-08-29T02:51:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3969</id>
            <title type="text"><![CDATA[RethinkDB]]></title>
            <link rel="alternate" href="https://rethinkdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3969"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the open-source database for the realtime web.

RethinkDB pushes JSON to your apps in realtime.
RethinkDB is the first open-source scalable database built for realtime applications. It exposes a new database access model, in which the developer can tell the database to continuously push updated query results to applications without polling for changes. RethinkDB allows developers to build scalable realtime apps in a fraction of the time with less effort.

- [RethinkDB @ GitHub](https://github.com/rethinkdb/rethinkdb).]]>
            </summary>
            <updated>2025-08-29T02:57:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4018</id>
            <title type="text"><![CDATA[Apache DataFusion]]></title>
            <link rel="alternate" href="https://datafusion.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4018"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DataFusion is a very fast, extensible query engine for building high-quality data-centric systems in Rust, using the Apache Arrow in-memory format.

DataFusion is great for building projects such as domain specific query engines, new database platforms and data pipelines, query languages and more. It lets you start quickly from a fully working engine, and then customize those features specific to your use.

- [DataFusion @ GitHub](https://github.com/apache/datafusion).]]>
            </summary>
            <updated>2025-08-29T03:06:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4021</id>
            <title type="text"><![CDATA[Timescale]]></title>
            <link rel="alternate" href="https://www.tigerdata.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4021"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL ++ for time series and events.
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension. 

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.

- [TimescaleDB @ GitHub](https://github.com/timescale/timescaledb).

Related contents:

- [Just Use Postgres for Everything @ Amazing CTO](https://www.amazingcto.com/postgres-for-everything/).
- [How TimescaleDB helped us scale analytics and reporting @ The Cloudflare Blog](https://blog.cloudflare.com/timescaledb-art/).]]>
            </summary>
            <updated>2025-08-29T03:06:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4029</id>
            <title type="text"><![CDATA[PostgresML]]></title>
            <link rel="alternate" href="https://postgresml.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4029"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Infra for RAG apps that work in prod.
You know Postgres. Now you know machine learning.

Index, filter &amp;amp; rank vectors. Create embeddings. Generate real-time, fact-based outputs.

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript and Rust, Korvus delivers high-performance, customizable search capabilities with minimal infrastructure concerns.

- [Korvus @ GitHub](https://github.com/postgresml/korvus).]]>
            </summary>
            <updated>2025-08-29T03:07:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4033</id>
            <title type="text"><![CDATA[phpRedisAdmin]]></title>
            <link rel="alternate" href="https://github.com/ErikDubbelboer/phpRedisAdmin" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4033"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simple web interface to manage Redis databases.]]>
            </summary>
            <updated>2025-08-29T03:09:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4034</id>
            <title type="text"><![CDATA[Redis-Commander]]></title>
            <link rel="alternate" href="https://joeferner.github.io/redis-commander/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4034"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Redis-Commander is a node.js web application used to view, edit, and manage a Redis Database

- [Redis-Commander @ GitHub](https://github.com/joeferner/redis-commander).

Related contents:

- [ValkeyValkey : Pour commencer @ Stackhero](https://www.stackhero.io/fr-fr/services/Valkey/documentations/Pour-commencer).]]>
            </summary>
            <updated>2025-08-29T03:09:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4042</id>
            <title type="text"><![CDATA[Pongo]]></title>
            <link rel="alternate" href="https://event-driven-io.github.io/Pongo/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4042"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Like Mongo But on Postgres And With Strong Consistency. Flexibility or Consistency? Why not both!

- [Pongo @ GitHub](https://github.com/event-driven-io/Pongo).
- [090 - Les news web dev pour juillet 2024 @ Double Slash](https://double-slash.dev/podcasts/news-jul-24/).]]>
            </summary>
            <updated>2025-08-29T03:10:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4053</id>
            <title type="text"><![CDATA[YDB]]></title>
            <link rel="alternate" href="https://ydb.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4053"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[an open source Distributed SQL Database.

YDB is a versatile open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions. It accommodates transactional (OLTP), analytical (OLAP), and streaming workloads simultaneously.

- [YDB @ GitHub](https://github.com/ydb-platform/ydb).]]>
            </summary>
            <updated>2025-08-29T03:11:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4079</id>
            <title type="text"><![CDATA[LevelDB]]></title>
            <link rel="alternate" href="https://github.com/google/leveldb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4079"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.]]>
            </summary>
            <updated>2025-08-29T03:17:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4107</id>
            <title type="text"><![CDATA[MindsDB]]></title>
            <link rel="alternate" href="https://mindsdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4107"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AI Development Cloud Platform, Real Time AI &amp;amp; ML, Deploy &amp;amp; Manage AI.
MindsDB is the most widely used AI data automation platform.

MindsDB is the platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. 

- [MindsDB @ GitHub](https://github.com/mindsdb/mindsdb).]]>
            </summary>
            <updated>2025-08-29T03:22:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4112</id>
            <title type="text"><![CDATA[ldap2pg]]></title>
            <link rel="alternate" href="https://ldap2pg.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4112"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🐘 👥 Manage PostgreSQL roles and privileges from YAML or LDAP 

Postgres is able to check password of an existing role using the LDAP protocol out of the box. ldap2pg automates the creation, update and removal of PostgreSQL roles and users from an entreprise directory.

- [ldap2pg @ GitHub](https://github.com/dalibo/ldap2pg).

Related contents:

- [ldap2pg 6.1 disponible @ Dalibo :fr:](https://blog.dalibo.com/2024/06/03/ldap2pg-6.1.html).
- [ldap2pg 6.6 with GSSAPI @ Dalibo :fr:](https://blog.dalibo.com/2026/07/07/ldap2pg-6.6-en.html).]]>
            </summary>
            <updated>2026-07-15T07:04:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4125</id>
            <title type="text"><![CDATA[AdminerEvo]]></title>
            <link rel="alternate" href="https://docs.adminerevo.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4125"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[AdminerEvo is a web-based database management interface, with a focus on security, user experience, performance, functionality and size. 

AdminerEvo works out of the box with MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch and MongoDB. In addition, there are plugins for SimpleDB, Firebird and ClickHouse.

- [AdminerEvo @ GitHub](https://github.com/adminerevo/adminerevo).]]>
            </summary>
            <updated>2025-08-29T03:24:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4126</id>
            <title type="text"><![CDATA[DbGate]]></title>
            <link rel="alternate" href="https://dbgate.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4126"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source SQL+noSQL Database Client. The Smartest SQL+noSQL Database Client.

Database manager for MySQL, PostgreSQL, SQL Server, MongoDB, SQLite and others. Runs under Windows, Linux, Mac or as web application 

- [DbGate Community](https://dbgate.org/).
- [DbGate @ GitHub](https://github.com/dbgate/dbgate).]]>
            </summary>
            <updated>2025-09-08T09:15:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4214</id>
            <title type="text"><![CDATA[Dataherald AI]]></title>
            <link rel="alternate" href="https://dataherald.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4214"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over relational data. It allows you to set up an API from your database that can answer questions in plain English.]]>
            </summary>
            <updated>2025-08-29T03:39:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4256</id>
            <title type="text"><![CDATA[ESQL: PHP Extended SQL]]></title>
            <link rel="alternate" href="https://github.com/soyuka/esql?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4256"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PHP Extended SQL is an alternative to the also-known DQL (Doctrine Query Language). It combines the flexibility of SQL with the powerful Doctrine metadata to give you more control over queries.

- [ESQL, une alternative au DQL @ Les-Tilleuls.coop :fr:](https://les-tilleuls.coop/blog/esql-dql-alternative).]]>
            </summary>
            <updated>2025-08-29T03:46:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4265</id>
            <title type="text"><![CDATA[Vitess]]></title>
            <link rel="alternate" href="https://vitess.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4265"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scalable. Reliable. MySQL-compatible. Cloud-native. Database.

Vitess is a database clustering system for horizontal scaling of MySQL. 

- [Vitess @ GitHub](https://github.com/vitessio/vitess).]]>
            </summary>
            <updated>2025-08-29T03:47:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4275</id>
            <title type="text"><![CDATA[Data Version Control · DVC]]></title>
            <link rel="alternate" href="https://dvc.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4275"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦉 ML Experiments and Data Management with Git 

Data Version Control or DVC is a command line tool and VS Code Extension to help you develop reproducible machine learning projects:

- [Data Version Control @ GitHub](https://github.com/iterative/dvc).
- [270 - DB Vectorielle - Noé Achache @ &amp;lt;ifttd&amp;gt; :fr:](https://www.ifttd.io/episodes/db-vectorielle).]]>
            </summary>
            <updated>2025-08-29T03:50:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4311</id>
            <title type="text"><![CDATA[ParadeDB]]></title>
            <link rel="alternate" href="https://www.paradedb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4311"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres for Search and Analytics.

ParadeDB is an Elasticsearch alternative built on Postgres. We&amp;#039;re modernizing the features of Elasticsearch&amp;#039;s product suite, starting with real-time search and analytics.

- [ParadeDB @ GitHub](https://github.com/paradedb/paradedb).

Related contents:

- [S3 is the perfect place to store data, until you try to search it @ Gordon Murray](https://gordonmurray.ie/data/2026/05/02/s3-is-the-perfect-place-to-store-data-until-you-try-to-search-it.html).]]>
            </summary>
            <updated>2026-05-15T13:53:31+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4323</id>
            <title type="text"><![CDATA[dbt]]></title>
            <link rel="alternate" href="https://www.getdbt.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4323"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Transform Data in Your Warehouse. Build trusted data products faster.

Accelerate your data transformation process with dbt Cloud and start delivering data that you and your team can rely on.  dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.

- [dbt Core @ GitHub](https://github.com/dbt-labs/dbt-core).
- [dbt Developer Hub](https://docs.getdbt.com/).

Sources:

- [268 - Résilience de la data - Sammy Teillet @ &amp;lt;ifttd&amp;gt; :fr:](https://www.ifttd.io/episodes/resilience-de-la-data).
- [Optimizing SQL queries for speed with dbt @ DataDuel.co](https://www.dataduel.co/optimizing-sql-queries-for-speed-with-dbt/).
- [Test Driven Development (TDD) with dbt: Test First, SQL Later @ Xebia](https://xebia.com/blog/test-driven-development-tdd-with-dbt/).
- [Understanding dbt: basics and best practices @ Datadog](https://www.datadoghq.com/blog/understanding-dbt/).]]>
            </summary>
            <updated>2025-09-08T13:29:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4336</id>
            <title type="text"><![CDATA[Redka]]></title>
            <link rel="alternate" href="https://github.com/nalgeon/redka" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4336"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Redis re-implemented with SQLite.

Redka aims to reimplement the good parts of Redis with SQLite, while remaining compatible with Redis API.

Related contents:

- [Redka: Redis with SQL @ Open Source Daily](https://opensourcedaily.blog/redka-redis).]]>
            </summary>
            <updated>2025-10-10T05:45:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4339</id>
            <title type="text"><![CDATA[Apache Kvrocks™]]></title>
            <link rel="alternate" href="https://kvrocks.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4339"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.

Kvrocks intends to decrease the cost of memory and increase the capacity while compared to Redis. The design of replication and storage was inspired by rocksplicator and blackwidow.

- [Kvrocks @ GitHub](https://github.com/apache/kvrocks).]]>
            </summary>
            <updated>2025-09-08T08:25:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4346</id>
            <title type="text"><![CDATA[docker-db-backup]]></title>
            <link rel="alternate" href="https://github.com/tiredofit/docker-db-backup" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4346"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Backup multiple database types on a scheduled basis with many customizable options.
This will build a container for backing up multiple types of DB Servers.

Backs up CouchDB, InfluxDB, MySQL/MariaDB, Microsoft SQL, MongoDB, Postgres, Redis servers.

- [4 Outils pour sauvegarder vos bases de données @ YoanDev :fr:](https://yoandev.co/4-outils-pour-sauvegarder-vos-bases-de-donnees).]]>
            </summary>
            <updated>2025-08-29T04:02:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4353</id>
            <title type="text"><![CDATA[DrawDB]]></title>
            <link rel="alternate" href="https://drawdb.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4353"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Online database diagram editor and SQL generator. Free, simple, and intuitive online database design tool and SQL generator.

DrawDB is a robust and user-friendly database entity relationship (DBER) editor right in your browser. Build diagrams with a few clicks, export sql scripts, customize your editor, and more without creating an account.

- [DrawDB @ GitHub](https://github.com/drawdb-io/drawdb).]]>
            </summary>
            <updated>2025-08-29T04:02:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4360</id>
            <title type="text"><![CDATA[PgBouncer]]></title>
            <link rel="alternate" href="https://www.pgbouncer.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4360"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[lightweight connection pooler for PostgreSQL.

- [PgBouncer @ GitHub](https://github.com/pgbouncer/pgbouncer).
- [Some Postgres Best Practices @ DigitalOcean](https://www.digitalocean.com/blog/some-postgres-best-practices).]]>
            </summary>
            <updated>2025-08-29T04:03:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4373</id>
            <title type="text"><![CDATA[FoundationDB]]></title>
            <link rel="alternate" href="https://www.foundationdb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4373"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the open source, distributed, transactional key-value store.

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using API language binding.

- [FoundationDB @ GitHub](https://github.com/apple/foundationdb/).

Related contents:

- [\#304.bin - Bilan 2024: Le début de la révolution avec Quentin Adam @ &amp;lt;ifttd&amp;gt;](https://www.ifttd.io/episodes/bilan-2024).
- [Métriques : archiver des milliards de points chaque mois @ clever cloud :fr:](https://www.clever-cloud.com/fr/blog/engineering-fr/2024/04/04/metriques-archiver-milliards-de-points-tous-les-mois/).
- [121 Aux sources de FoundationDB feat @bigdatahebdo @ Clever Cloud&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=AfsLEz8oAb4).]]>
            </summary>
            <updated>2025-08-29T04:06:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4374</id>
            <title type="text"><![CDATA[Warp 10]]></title>
            <link rel="alternate" href="https://warp10.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4374"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Most Advanced Time Series Platform.

Warp 10 is a modular open source platform shaped for the IoT that collects, stores and allows you to analyze sensor data. It offers both a Time Series Database and a powerful analysis environment that can be used together or independently.

- [Warp 10 @ GitHub](https://github.com/senx/warp10-platform).
- [Métriques : archiver des milliards de points chaque mois @ clever cloud :fr:](https://www.clever-cloud.com/fr/blog/engineering-fr/2024/04/04/metriques-archiver-milliards-de-points-tous-les-mois/).]]>
            </summary>
            <updated>2025-08-29T04:06:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4392</id>
            <title type="text"><![CDATA[Valkey]]></title>
            <link rel="alternate" href="https://valkey.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4392"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A new project to resume development on the formerly open-source Redis project. We&amp;#039;re calling it Valkey, since it&amp;#039;s a twist on the key-value datastore.

Valkey is a high-performance data structure server that primarily serves key/value workloads. It supports a wide range of native structures and an extensible plugin system for adding new data structures and access patterns.

- [Valkey @ GitHub](https://github.com/valkey-io/valkey).
- [Redis can do more than you think @ Computer Science Simplified](https://computersciencesimplified.substack.com/p/redis-can-do-more-than-you-think).
- [Valkey 9.0 Adds Multi-Database Clusters, Supports 1 Billion Requests Per Second @ It&amp;#039;s FOSS](https://itsfoss.com/news/valkey-9-release/).]]>
            </summary>
            <updated>2025-11-13T07:10:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4415</id>
            <title type="text"><![CDATA[KeyDB]]></title>
            <link rel="alternate" href="https://docs.keydb.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4415"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Faster Redis Alternative.  A Multithreaded Fork of Redis.
KeyDB is a fully open source database, backed by Snap, and a faster drop in alternative to Redis.

KeyDB is a high performance fork of Redis with a focus on multithreading, memory efficiency, and high throughput. In addition to performance improvements, KeyDB offers features such as Active Replication, FLASH Storage and Subkey Expires. KeyDB has a MVCC architecture that allows you to execute queries such as KEYS and SCAN without blocking the database and degrading performance.

- [KeyDB @ GitHub](The Faster Redis Alternative).]]>
            </summary>
            <updated>2025-08-29T04:12:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4434</id>
            <title type="text"><![CDATA[RxDB]]></title>
            <link rel="alternate" href="https://rxdb.info/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4434"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[JavaScript Database. A fast, local first, reactive Database for JavaScript Applications.

 RxDB (short for Reactive Database) is a local-first, NoSQL-database for JavaScript Applications like Websites, hybrid Apps, Electron-Apps, Progressive Web Apps, Deno and Node.js.

- [RxDB @ GitHub](https://github.com/pubkey/rxdb).
- [Using localStorage in Modern Applications: A Comprehensive Guide @ RxDB Blog](https://rxdb.info/articles/localstorage.html).]]>
            </summary>
            <updated>2025-08-29T04:15:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4460</id>
            <title type="text"><![CDATA[Umzug]]></title>
            <link rel="alternate" href="https://github.com/sequelize/umzug" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4460"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Umzug is a framework-agnostic migration tool for Node. It provides a clean API for running and rolling back tasks.]]>
            </summary>
            <updated>2025-08-29T04:20:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4509</id>
            <title type="text"><![CDATA[PGlite]]></title>
            <link rel="alternate" href="https://github.com/electric-sql/pglite?tab=readme-ov-file" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4509"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Lightweight Postgres packaged as WASM into a TypeScript library for the browser, Node.js, Bun and Deno.

PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.]]>
            </summary>
            <updated>2025-08-29T04:28:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4528</id>
            <title type="text"><![CDATA[Nhost]]></title>
            <link rel="alternate" href="https://nhost.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4528"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open Source Firebase Alternative with GraphQL

Nhost is an open-source backend and development platform that enables developers to build and scale their web and mobile apps.

- [Nhost @ GitHub](https://github.com/nhost/nhost).

Related contents:

- [5 Open Source Tools for Backend Developers in 2025 @ Arindam Majumder&amp;#039;s dev.to](https://dev.to/arindam_1729/5-open-source-tools-for-backend-developers-in-2025-3lng).
- [079 Les News Web Dev janvier 2024 numéro 2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news24w2/).]]>
            </summary>
            <updated>2025-08-29T04:31:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4561</id>
            <title type="text"><![CDATA[Snaplet]]></title>
            <link rel="alternate" href="https://www.snaplet.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4561"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build faster, test better with production-like data in a snap!

Snaplet is an all-in-one developer tool that gives developers realistic, production-like data that they can code against.
Snaplet uses generative ai to give you realistic, production-like data for your Postgres database so you can code, debug, and test with ease.

- [Snaplet @ GitHub](https://github.com/snaplet/).
- [Snaplet @ Discord](https://discord.com/invite/aTMDKj6QJs).
- [Copier et anonymiser vos données de prod pour vos devs @ YoanDev :fr:](https://yoandev.co/copier-et-anonymiser-vos-donnees-de-prod-pour-vos-devs).
- [Copier et anonymiser vos données de prod pour vos devs ! @ YoanDev&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=LaL4zYQkmqs).]]>
            </summary>
            <updated>2025-08-29T04:36:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4581</id>
            <title type="text"><![CDATA[DbToolsBundle]]></title>
            <link rel="alternate" href="https://dbtoolsbundle.readthedocs.io/en/stable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4581"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A set of Symfony Console Commands to interact with your database.

- Backup: Backup your database and manage your dumps with a simple command.
- Restore: Easily restore a previous dump of your database.
- Anonymize: Set up database anonymization with PHP attributes on Doctrine Entities or with a YAML configuration file.
- Set up a GDPR-friendly workflow: Make it easier to follow GDPR best practices when importing production dump to other environments.

- [DbToolsBundle @ GitHub](https://github.com/makinacorpus/DbToolsBundle).]]>
            </summary>
            <updated>2025-08-29T04:40:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4655</id>
            <title type="text"><![CDATA[ElectricSQL]]></title>
            <link rel="alternate" href="https://electric-sql.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4655"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sync for modern apps. The standard sync layer for local-first apps. Build reactive, realtime, local-first apps directly on Postgres.

ElectricSQL is a local-first software platform that makes it easy to develop high-quality, modern apps with instant reactivity, realtime multi-user collaboration and conflict-free offline support.

Local-first is a new development paradigm where your app code talks directly to an embedded local database and data syncs in the background via active-active database replication. Because the app code talks directly to a local database, apps feel instant. Because data syncs in the background via active-active replication it naturally supports multi-user collaboration and conflict-free offline.

- [ElectricSQL @ GitHub](https://github.com/electric-sql/electric).

Related contents:

- [Épisode \#108 - Les news web dev pour Mars 2025 RC2 @ Double Slash :fr:](https://double-slash.dev/podcasts/news-mars-rc2/).]]>
            </summary>
            <updated>2025-08-29T04:52:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4660</id>
            <title type="text"><![CDATA[Fuse.js]]></title>
            <link rel="alternate" href="https://fusejs.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4660"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The opinionated framework for easily creating typesafe data layers. End-to-end typesafe data fetching for frontend teams at scale.

- [Fuse.js @ GitHub](https://github.com/StellateHQ/fuse.js).
- [Announcing Fuse.js: The opinionated framework for creating typesafe data layers @ Stellate](https://stellate.co/blog/announcing-fuse-js).]]>
            </summary>
            <updated>2025-08-29T04:54:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4664</id>
            <title type="text"><![CDATA[HeidiSQL]]></title>
            <link rel="alternate" href="https://www.heidisql.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4664"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MariaDB, MySQL, MSSQL, PostgreSQL and SQLite made easy.

HeidiSQL is free software, and has the aim to be easy to learn. &amp;quot;Heidi&amp;quot; lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite. Invented in 2002 by Ansgar, HeidiSQL belongs to the most popular tools for MariaDB and MySQL worldwide. 

- [HeidiSQL @ GitHub](https://github.com/HeidiSQL/HeidiSQL).]]>
            </summary>
            <updated>2025-09-08T14:16:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4705</id>
            <title type="text"><![CDATA[CockroachDB]]></title>
            <link rel="alternate" href="https://www.cockroachlabs.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4705"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[CockroachDB is a cloud-native distributed PostgreSQL-compatible SQL database designed to build, scale, and manage modern, data-intensive applications.

- [CockroachDB @ GitHub](https://github.com/cockroachdb/cockroach).

Related contents:

- [Migrating to Postgres @ Motion Engineering Blog](https://engineering.usemotion.com/migrating-to-postgres-3c93dff9c65d).
- [Optimizing PgBench for CockroachDB Part 1 @ DZone](https://dzone.com/articles/optimizing-pgbench-for-cockroachdb-part-1).
- [Optimizing PgBench for CockroachDB Part 2 @ DZone](https://dzone.com/articles/optimizing-pgbench-for-cockroachdb-part-2).
- [Optimizing PgBench for CockroachDB Part 3 @ DZone](https://dzone.com/articles/optimizing-pgbench-for-cockroachdb-part-3).
- [Leveraging Change Data Capture For Database Migrations At Scale @ SquareSpace Engineering](https://engineering.squarespace.com/blog/2025/leveraging-change-data-capture-for-database-migrations-at-scale).
- [How CockroachDB Built Vector Indexing at Scale @ ByteByteGo Newsletter](https://blog.bytebytego.com/p/how-cockroachdb-built-vector-indexing).]]>
            </summary>
            <updated>2026-06-15T06:12:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4763</id>
            <title type="text"><![CDATA[SimpleBus]]></title>
            <link rel="alternate" href="https://docs.simplebus.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4763"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Simplebus is a organization that helps you to use CQRS and event sourcing in your application. Get started by reading more about these concepts LINK or by digging in to common use cases LINK.

- [SimpleBus @ GitHub](https://github.com/SimpleBus/SimpleBus).]]>
            </summary>
            <updated>2025-08-29T05:11:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4796</id>
            <title type="text"><![CDATA[SQLite]]></title>
            <link rel="alternate" href="https://www.sqlite.org/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4796"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.

Related contents:

- [SQLite: How it works, by Richard Hipp @ Prof. Dr. Jens Dittrich, Big Data Analytics&amp;#039; YouTube](https://www.youtube.com/watch?v=ZSKLA81tBis).
- [Optimizing SQLite for servers @ Sylvain Kerkour :fr:](https://kerkour.com/sqlite-for-servers).
- [What you need to know about SQLite @ Joy of Rails](https://joyofrails.com/articles/what-you-need-to-know-about-sqlite).
- [Collection of insane and fun facts about SQLite @ avi.im&amp;#039;s blag](https://avi.im/blag/2024/sqlite-facts/).]]>
            </summary>
            <updated>2025-08-29T05:16:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4797</id>
            <title type="text"><![CDATA[libsql]]></title>
            <link rel="alternate" href="https://turso.tech/libsql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4797"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQLite for modern applications.libSQL is a fork of SQLite that is both Open Source, and Open Contributions. 

libSQL is an open source, open contribution fork of SQLite, created and maintained by Turso. We aim to evolve it to suit many more use cases than SQLite was originally designed for, and plan to use third-party OSS code wherever it makes sense.

- [libSQL @ GitHub](https://github.com/tursodatabase/libsql).]]>
            </summary>
            <updated>2025-08-29T05:16:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4798</id>
            <title type="text"><![CDATA[SurrealDB]]></title>
            <link rel="alternate" href="https://surrealdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4798"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The ultimate multi-model database. Develop easier. Build faster. Scale quicker.

SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.

- [SurrealDB @ GitHub](https://github.com/surrealdb/surrealdb).
- [SurrealDB University](https://surrealdb.com/learn).]]>
            </summary>
            <updated>2025-08-29T05:16:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4820</id>
            <title type="text"><![CDATA[Grafbase]]></title>
            <link rel="alternate" href="https://grafbase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4820"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The unified data layer

Connect your APIs, databases and microservices to a unified API at the edge. Delight your users with fast response times globally. Deploy globally fast GraphQL APIs with a top-notch developer experience.

- [Grafbase @ GitHub](https://github.com/grafbase/grafbase).]]>
            </summary>
            <updated>2025-08-29T05:20:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4821</id>
            <title type="text"><![CDATA[Corrosion]]></title>
            <link rel="alternate" href="https://superfly.github.io/corrosion/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4821"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[corrosion is a distributed system for propagating SQLite state across a cluster of nodes.

- [Corrosion @ GitHub](https://github.com/superfly/corrosion)]]>
            </summary>
            <updated>2025-08-29T05:20:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4825</id>
            <title type="text"><![CDATA[TigerBeetle]]></title>
            <link rel="alternate" href="https://tigerbeetle.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4825"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Track Financial Transactions at Scale. The world’s fastest financial accounting database

Not to mention the smallest and toughest. An incredible storage fault model. TigerBeetle is the system of record for the next generation of financial services. 

TigerBeetle is a financial accounting database designed for mission critical safety and performance to power the future of financial services.

[TigerBeetle @ GitHub](https://github.com/tigerbeetle/tigerbeetle).

Related contents:

- [Episode \#626: Turso is rewriting SQLite in Rust @ Changelog Interviews](https://changelog.com/podcast/626).
- [Episode \#635: The 1000x faster financial database @ Changelog Interviews](https://changelog.com/podcast/635).]]>
            </summary>
            <updated>2025-08-29T05:21:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4869</id>
            <title type="text"><![CDATA[Neon]]></title>
            <link rel="alternate" href="https://neon.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4869"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Serverless, Fault-Tolerant, Branchable Postgres.

The fully managed multi-cloud Postgres with a generous free tier. We separated storage and compute to offer autoscaling, branching, and bottomless storage.

- [Neon @ GitHub](https://github.com/neondatabase/neon).
- [Awesome Neon @ GitHub](https://github.com/tyaga001/awesome-neon).]]>
            </summary>
            <updated>2025-08-29T05:28:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4876</id>
            <title type="text"><![CDATA[pgBackRest]]></title>
            <link rel="alternate" href="https://pgbackrest.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4876"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Reliable PostgreSQL Backup &amp;amp; Restore.

pgBackRest aims to be a reliable, easy-to-use backup and restore solution that can seamlessly scale up to the largest databases and workloads by utilizing algorithms that are optimized for database-specific requirements. 

[pgBackRest @ GitHub](https://github.com/pgbackrest/pgbackrest)]]>
            </summary>
            <updated>2025-08-29T05:29:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4897</id>
            <title type="text"><![CDATA[GlareDB]]></title>
            <link rel="alternate" href="https://glaredb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4897"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Your Data Pipeline, Simplified.  GlareDB: An analytics DBMS for distributed data.

Data exists everywhere: your laptop, Postgres, Snowflake and as files in S3. It exists in various formats such as Parquet, CSV and JSON. Regardless, there will always be multiple steps spanning several destinations to get the insights you need.

GlareDB is designed to query your data wherever it lives using SQL that you already know.

- [GlareDB @ GitHub](https://github.com/GlareDB/glaredb)
- [What the Heck is GlareDB? @ HackerNoon](https://hackernoon.com/what-the-heck-is-glaredb).]]>
            </summary>
            <updated>2025-08-29T05:33:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4907</id>
            <title type="text"><![CDATA[Atlas]]></title>
            <link rel="alternate" href="https://atlasgo.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4907"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source database schema management tool. manage your database schema as code.

Atlas is a language-agnostic tool for managing and migrating database schemas using modern DevOps principles.

- [Atlas @ GitHub](https://github.com/ariga/atlas).

Related contents:

- [Kubernetes Finally Solves Its Biggest Problem: Managing Databases @ The New Stack](https://thenewstack.io/kubernetes-finally-solves-its-biggest-problem-managing-databases/).]]>
            </summary>
            <updated>2025-09-29T06:02:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4950</id>
            <title type="text"><![CDATA[Dolt]]></title>
            <link rel="alternate" href="https://www.dolthub.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4950"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Dolt is Git for data. The world&amp;#039;s first and only version-controlled SQL database.

Dolt is a SQL database that you can fork, clone, branch, merge, push and pull just like a Git repository.

Connect to Dolt just like any MySQL database to read or modify schema and data. Version control functionality is exposed in SQL via system tables, functions, and procedures.

- [Dolt @ GitHub](https://github.com/dolthub/dolt).

Related contents:

- [Hunting a Memory Leak @ DoltHub]().]]>
            </summary>
            <updated>2025-08-29T05:41:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4975</id>
            <title type="text"><![CDATA[txtai]]></title>
            <link rel="alternate" href="https://neuml.github.io/txtai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4975"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

[txtai @ GitHub](https://github.com/neuml/txtai).]]>
            </summary>
            <updated>2025-08-29T05:47:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5022</id>
            <title type="text"><![CDATA[Apache AGE]]></title>
            <link rel="alternate" href="https://age.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5022"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Data Processing &amp;amp; Analytics for Relational Database.

Apache AGE® is a PostgreSQL extension that provides graph database functionality.
 Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL. 

[AGE @ GitHub](https://github.com/apache/age).]]>
            </summary>
            <updated>2025-08-29T05:55:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5079</id>
            <title type="text"><![CDATA[ProxySQL]]></title>
            <link rel="alternate" href="https://proxysql.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5079"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A High Performance Open Source MySQL Proxy.

ProxySQL is an open source high performance, high availability, database protocol aware proxy for MySQL

- [ProxySQL @ GitHub](https://github.com/sysown/proxysql).
- [Early MySQL engineer questions whether Oracle is unintentionally killing off the open source database @ The Register](https://www.theregister.com/2024/06/11/early_mysql_engineer_questions_whether/)]]>
            </summary>
            <updated>2025-08-29T06:03:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5083</id>
            <title type="text"><![CDATA[Turso]]></title>
            <link rel="alternate" href="https://turso.tech/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5083"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQLite Developer Experience in an Edge Database.

Turso is an edge-hosted, distributed database based on libSQL, an open-source and open-contribution fork of SQLite. It was designed to minimize query latency for applications where queries come from anywhere in the world. In particular, it works well with edge functions provided by cloud platforms such as CloudFlare, Netlify, and Vercel, by putting your data geographically close to the code that accesses it.

- [Turso Database @ GitHub](https://github.com/tursodatabase/turso).
- [libSQL @ GitHub](https://github.com/tursodatabase/libsql).

Related contents:

- [Local RAG with Ollama, Mistral, and Turso @ Turso&amp;#039;s blog](https://turso.tech/blog/local-rag-with-ollama-and-turso-sqlite).
- [Deep dive into Turso, the &amp;quot;SQLite rewrite in Rust&amp;quot; @ Sylvain Kerkour](https://kerkour.com/turso-sqlite).]]>
            </summary>
            <updated>2026-01-30T12:45:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5084</id>
            <title type="text"><![CDATA[DrizzleORM]]></title>
            <link rel="alternate" href="https://orm.drizzle.team/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5084"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TypeScript ORM that feels like writing SQL.

Drizzle ORM is a TypeScript ORM for SQL databases designed with maximum type safety in mind. It comes with a drizzle-kit CLI companion for automatic SQL migrations generation. Drizzle ORM is meant to be a library, not a framework. It stays as an opt-in solution all the time at any levels. The ORM&amp;#039;s main philosophy is &amp;quot;If you know SQL, you know Drizzle ORM&amp;quot;. We follow the SQL-like syntax whenever possible, are strongly typed ground up, and fail at compile time, not in runtime.

[DrizzleORM @ GitHub](https://github.com/drizzle-team/drizzle-orm).]]>
            </summary>
            <updated>2025-08-29T06:04:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5098</id>
            <title type="text"><![CDATA[GraphiQL]]></title>
            <link rel="alternate" href="https://github.com/graphql/graphiql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5098"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A graphical interactive in-browser GraphQL IDE]]>
            </summary>
            <updated>2025-08-29T06:07:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5122</id>
            <title type="text"><![CDATA[goctopus]]></title>
            <link rel="alternate" href="https://github.com/Escape-Technologies/goctopus?ref=escape.tech" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5122"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Blazing fast GraphQL discovery &amp;amp; fingerprinting toolbox.]]>
            </summary>
            <updated>2025-08-29T06:11:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5180</id>
            <title type="text"><![CDATA[RocksDB]]></title>
            <link rel="alternate" href="https://rocksdb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5180"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Persistent Key-Value Store for Flash and RAM Storage

- [RocksDB](https://github.com/facebook/rocksdb/).

Related contents:

- [How we replaced Elasticsearch and MongoDB with Rust and RocksDB @ Radar](https://radar.com/blog/high-performance-geocoding-in-rust).
- [RocksDB development finds a CPU bug @ RocksDB](https://rocksdb.org/blog/2026/02/17/cpu-bug.html).
- [How MVCC and Transactions Work in RocksDB @ Artem Krylysov](https://artem.krylysov.com/blog/2026/07/23/how-mvcc-and-transactions-work-in-rocksdb/).]]>
            </summary>
            <updated>2026-07-24T12:10:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5181</id>
            <title type="text"><![CDATA[mysql_fdw]]></title>
            <link rel="alternate" href="https://github.com/EnterpriseDB/mysql_fdw" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5181"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL foreign data wrapper for MySQL.

This PostgreSQL extension implements a Foreign Data Wrapper (FDW) for MySQL.]]>
            </summary>
            <updated>2025-08-29T06:20:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5182</id>
            <title type="text"><![CDATA[mysql_migrator]]></title>
            <link rel="alternate" href="https://github.com/fljdin/mysql_migrator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5182"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tools for MySQL to PostgreSQL migration.

mysql_migrator is a plugin for db_migrator that uses mysql_fdw to migrate an MySQL or MariaDB database to PostgreSQL.]]>
            </summary>
            <updated>2025-08-29T06:20:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5183</id>
            <title type="text"><![CDATA[oracle_fdw]]></title>
            <link rel="alternate" href="https://github.com/laurenz/oracle_fdw" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5183"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL Foreign Data Wrapper for Oracle.

oracle_fdw is a PostgreSQL extension that provides a Foreign Data Wrapper for easy and efficient access to Oracle databases, including pushdown of WHERE conditions and required columns as well as comprehensive EXPLAIN support.]]>
            </summary>
            <updated>2025-08-29T06:20:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5184</id>
            <title type="text"><![CDATA[db_migrator]]></title>
            <link rel="alternate" href="https://github.com/cybertec-postgresql/db_migrator" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5184"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[db_migrator is a PostgreSQL extension that provides functions for migrating databases from other data sources to PostgreSQL. This requires a foreign data wrapper for the data source you want to migrate.]]>
            </summary>
            <updated>2025-08-29T06:20:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5187</id>
            <title type="text"><![CDATA[Datomic]]></title>
            <link rel="alternate" href="https://www.datomic.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5187"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fully transactional, cloud-ready, distributed database.

Build flexible, distributed systems that can leverage the entire history of your critical data, not just the most current state. Build them on your existing infrastructure or jump straight to the cloud.

[Datomic @ GitHub](https://github.com/Datomic)]]>
            </summary>
            <updated>2025-08-29T06:21:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5233</id>
            <title type="text"><![CDATA[Hot Chocolate]]></title>
            <link rel="alternate" href="https://chillicream.com/docs/hotchocolate/v13" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5233"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hot Chocolate is an open-source GraphQL server for the Microsoft .NET platform that is compliant with the newest GraphQL October 2021 spec + Drafts, which makes Hot Chocolate compatible to all GraphQL compliant clients like Strawberry Shake, Relay, Apollo Client, and various other GraphQL clients and tools.

Hot Chocolate takes the complexity away from building a fully-fledged GraphQL server and lets you focus on delivering the next big thing.

[Hot Chocolate @ GitHub](https://github.com/ChilliCream/graphql-platform)]]>
            </summary>
            <updated>2025-08-29T06:28:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5256</id>
            <title type="text"><![CDATA[SchemaCrawler]]></title>
            <link rel="alternate" href="https://www.schemacrawler.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5256"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free database schema discovery and comprehension tool.]]>
            </summary>
            <updated>2025-08-29T06:32:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5276</id>
            <title type="text"><![CDATA[Xata]]></title>
            <link rel="alternate" href="https://xata.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5276"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The serverless database built for modern development.

Your database should be easy to use, not a source of frustration. Xata easily integrates into your developer workflow, providing the best data experience for Github, Vercel and Netlify based deployments.

- [Xata @ GitHub](https://github.com/xataio/xata).

Related contents:

- [Introducing Xata OSS: Postgres platform with branching, now Apache 2.0 @ xata blog](https://xata.io/blog/open-source-postgres-branching-copy-on-write).
- [ Database Clones in Less Than a Second: Postgres Branching + Scale-to-Zero @ Xata&amp;#039;s YouTube](https://www.youtube.com/watch?v=zyQYMBt7mkM).]]>
            </summary>
            <updated>2026-06-22T06:18:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5297</id>
            <title type="text"><![CDATA[QuestDB]]></title>
            <link rel="alternate" href="https://questdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5297"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast SQL for time-series



QuestDB is an open-source time-series database for high throughput ingestion and fast SQL queries with operational simplicity. It supports schema-agnostic ingestion using the InfluxDB line protocol, PostgreSQL wire protocol, and a REST API for bulk imports and exports.

[QuestDB @ GitHub](https://github.com/questdb/questdb).]]>
            </summary>
            <updated>2025-08-29T06:39:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5298</id>
            <title type="text"><![CDATA[Mongoku:]]></title>
            <link rel="alternate" href="https://github.com/huggingface/Mongoku" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5298"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🔥The Web-scale GUI for MongoDB.

MongoDB client for the web. Query your data directly from your browser. You can host it locally, or anywhere else, for you and your team.]]>
            </summary>
            <updated>2025-08-29T06:39:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5330</id>
            <title type="text"><![CDATA[SQLPage]]></title>
            <link rel="alternate" href="https://sql.ophir.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5330"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source low-code web application framework. Create full websites writing only simple database queries.

SQLpage is an SQL-only webapp builder. It is meant for data scientists, analysts, and business intelligence teams to build powerful data-centric applications quickly, without worrying about any of the traditional web programming languages and concepts.

With SQLPage, you write simple .sql files containing queries to your database to select, group, update, insert, and delete your data, and you get good-looking clean webpages displaying your data as text, lists, grids, plots, and forms.

[SQLPage @ GitHub](https://github.com/lovasoa/SQLPage).]]>
            </summary>
            <updated>2025-08-29T06:45:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5348</id>
            <title type="text"><![CDATA[pgcli]]></title>
            <link rel="alternate" href="https://www.pgcli.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5348"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres CLI with autocompletion and syntax highlighting 

[pgcli @ GitHub](https://github.com/dbcli/pgcli)]]>
            </summary>
            <updated>2025-08-29T06:47:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5387</id>
            <title type="text"><![CDATA[Milvus]]></title>
            <link rel="alternate" href="https://milvus.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5387"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.

- [Milvus @ GitHub](https://github.com/milvus-io/milvus).

Related contents:

- [RAG Against The Machine @ Quoi de neuf les devs ? :fr:](https://happytodev.substack.com/p/quoi-de-neuf-les-devs-153-veille?open=false#%C2%A7rag-against-the-machine).]]>
            </summary>
            <updated>2025-10-29T13:14:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5406</id>
            <title type="text"><![CDATA[Pgpool-II]]></title>
            <link rel="alternate" href="https://www.pgpool.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5406"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pgpool-II is a middleware that works between PostgreSQL servers and a PostgreSQL database client.

Pgpool-II saves connections to the PostgreSQL servers, and reuse them whenever a new connection with the same properties (i.e. username, database, protocol version) comes in. It reduces connection overhead, and improves system&amp;#039;s overall throughput.]]>
            </summary>
            <updated>2025-08-29T06:57:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5407</id>
            <title type="text"><![CDATA[Barman]]></title>
            <link rel="alternate" href="https://pgbarman.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5407"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Allows your company to implement disaster recovery solutions for PostgreSQL databases with high requirements of business continuity.

Taking an online hot backup of PostgreSQL is now as easy as ordering a good espresso coffee.

[Barman @ GitHub](https://github.com/EnterpriseDB/barman/).]]>
            </summary>
            <updated>2025-08-29T06:57:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5449</id>
            <title type="text"><![CDATA[mongodb-bundle]]></title>
            <link rel="alternate" href="https://github.com/facile-it/mongodb-bundle" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5449"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Bundle service integration of official mongodb/mongo-php-library.

This bundle integrates the official mongodb/mongo-php-library driver library (mongodb/mongodb on packagist) with your Symfony app.]]>
            </summary>
            <updated>2025-08-29T07:04:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5473</id>
            <title type="text"><![CDATA[PostgREST]]></title>
            <link rel="alternate" href="https://postgrest.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5473"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgREST is a standalone web server that turns your PostgreSQL database directly into a RESTful API. The structural constraints and permissions in the database determine the API endpoints and operations.

[PostgREST @ GitHub](https://github.com/postgrest/postgrest)]]>
            </summary>
            <updated>2025-08-29T07:08:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5475</id>
            <title type="text"><![CDATA[Kubegres]]></title>
            <link rel="alternate" href="https://www.kubegres.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5475"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances with data replication and failover enabled out-of-the box. It brings simplicity when using PostgreSql considering how complex managing stateful-set&amp;#039;s life-cycle and data replication could be with Kubernetes.

[Kubegres @ GitHub](https://github.com/reactive-tech/kubegres)]]>
            </summary>
            <updated>2025-08-29T07:09:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5505</id>
            <title type="text"><![CDATA[ClickHouse]]></title>
            <link rel="alternate" href="https://clickhouse.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5505"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast Open-Source OLAP DBMS.

ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.

- [ClickHouse @ GitHub](https://github.com/ClickHouse/ClickHouse).

Related contents:

- [Altinity Kubernetes Operator for ClickHouse @ GitHub](https://github.com/Altinity/clickhouse-operator).
- [ClickHouse on Kubernetes @ Sr. Data Engineer](https://blog.duyet.net/2024/03/clickhouse-on-kubernetes/).
- [Inside ClickHouse full-text search: fast, native, and columnar @ ClickHouse](https://clickhouse.com/blog/clickhouse-full-text-search).
- [How we made ClickHouse log queries 99.5% faster with resource fingerprinting @ SigNoz](https://signoz.io/blog/query-performance-improvement/).
- [From Millions to Billions @ geocodio](https://www.geocod.io/code-and-coordinates/2025-10-02-from-millions-to-billions/).
- [The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse @ Big Data Boutique](https://bigdataboutique.com/blog/kfc-architecture-blueprint-kafka-flink-and-clickhouse).
- [How we give every user SQL access to a shared ClickHouse cluster @ Trigger.dev](https://trigger.dev/blog/how-trql-works).]]>
            </summary>
            <updated>2026-03-23T14:51:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5527</id>
            <title type="text"><![CDATA[FerretDB]]></title>
            <link rel="alternate" href="https://www.ferretdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5527"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[FerretDB is an open-source proxy, converting the MongoDB 6.0+ wire protocol queries to SQL - using PostgreSQL as a database engine.

[FerretDB @ GitHub](https://github.com/FerretDB/FerretDB)]]>
            </summary>
            <updated>2025-08-29T07:18:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5546</id>
            <title type="text"><![CDATA[sysbench]]></title>
            <link rel="alternate" href="https://github.com/akopytov/sysbench" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5546"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scriptable database and system performance benchmark.

sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. It is most frequently used for database benchmarks, but can also be used to create arbitrarily complex workloads that do not involve a database server.]]>
            </summary>
            <updated>2025-08-29T07:21:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5574</id>
            <title type="text"><![CDATA[Postgresql Anonymizer]]></title>
            <link rel="alternate" href="https://labs.dalibo.com/postgresql_anonymizer" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5574"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[postgresql_anonymizer is an extension to mask or replace personally identifiable information (PII) or commercially sensitive data from a PostgreSQL database.

The project is aiming toward a declarative approach of anonymization. This means we’re trying to extend PostgreSQL Data Definition Language (DDL) in order to specify the anonymization strategy inside the table definition itself.

- [Postgresql Anonymizer @ GitLab](https://gitlab.com/dalibo/postgresql_anonymizer/).
- [Postgresql Anonymizer @ Read the Docs](https://postgresql-anonymizer.readthedocs.io/en/stable/).

Related contents:

- [PostgreSQL Anonymizer 2.0 - Générer des données factices @ DALIBO :fr:](https://blog.dalibo.com/2024/10/10/postgresql_anonymizer_generer_des_donnees_factices.html).]]>
            </summary>
            <updated>2025-08-29T07:26:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5575</id>
            <title type="text"><![CDATA[HypoPG]]></title>
            <link rel="alternate" href="https://github.com/HypoPG/hypopg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5575"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Hypothetical Indexes for PostgreSQL. HypoPG is a PostgreSQL extension adding support for hypothetical indexes.

An hypothetical -- or virtual -- index is an index that doesn&amp;#039;t really exists, and thus doesn&amp;#039;t cost CPU, disk or any resource to create. They&amp;#039;re useful to know if specific indexes can increase performance for problematic queries, since you can know if PostgreSQL will use these indexes or not without having to spend resources to create them.]]>
            </summary>
            <updated>2025-08-29T07:26:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5602</id>
            <title type="text"><![CDATA[Mathesar]]></title>
            <link rel="alternate" href="https://mathesar.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5602"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source UI for Postgres databases.

Mathesar is a straightforward open source tool that provides a spreadsheet-like interface to a PostgreSQL database. Our web-based interface helps you and your collaborators work with data more independently and comfortably – no technical skills needed.

You can use Mathesar to build data models, enter data, and even build reports. You host your own Mathesar installation, which gives you ownership, privacy, and control of your data.

[Mathesar @ GitHub](https://github.com/centerofci/mathesar)]]>
            </summary>
            <updated>2025-08-29T07:32:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5679</id>
            <title type="text"><![CDATA[Pyrseas]]></title>
            <link rel="alternate" href="https://github.com/perseas/Pyrseas" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5679"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Provides utilities for Postgres database schema versioning.
Pyrseas provides utilities to describe a PostgreSQL database schema as YAML, to verify the schema against the same or a different database and to generate SQL that will modify the schema to match the YAML description.]]>
            </summary>
            <updated>2025-08-29T07:44:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5695</id>
            <title type="text"><![CDATA[Baserow]]></title>
            <link rel="alternate" href="https://baserow.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5695"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source no-code database and Airtable alternative.
Create your own online database without technical experience. Our user friendly no-code tool gives you the powers of a developer without leaving your browser. 

- [Baserow @ GitLab](https://gitlab.com/bramw/baserow).]]>
            </summary>
            <updated>2025-08-29T07:46:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5699</id>
            <title type="text"><![CDATA[DataHub]]></title>
            <link rel="alternate" href="https://datahubproject.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5699"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Metadata Platform for the Modern Data Stack . The #1 Open Source Data Catalog.

DataHub&amp;#039;s extensible metadata platform enables data discovery, data observability and federated governance that helps tame the complexity of your data ecosystem.

[DataHub @ GitHub](https://github.com/datahub-project/datahub).]]>
            </summary>
            <updated>2025-08-29T07:46:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5799</id>
            <title type="text"><![CDATA[etcd]]></title>
            <link rel="alternate" href="https://etcd.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5799"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A distributed, reliable key-value store for the most critical data of a distributed system.

etcd is a strongly consistent, distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. It gracefully handles leader elections during network partitions and can tolerate machine failure, even in the leader node. Learn more.

- [etcd @ GitHub](https://github.com/etcd-io/etcd).

Related contents:

- [The Complete Guide to ETCD Cluster Setup @ Daniel Persson (Kalaspuffar)&amp;#039;s YouTube](https://www.youtube.com/watch?v=uC1WPxFzISQ).
- [The Kubernetes Surgeon’s Handbook: Precision Recovery from etcd Snapshots @ Cloud Native](https://www.cncf.io/blog/2025/05/08/the-kubernetes-surgeons-handbook-precision-recovery-from-etcd-snapshots/).]]>
            </summary>
            <updated>2025-08-29T08:04:28+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5842</id>
            <title type="text"><![CDATA[Supabase]]></title>
            <link rel="alternate" href="https://supabase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5842"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Open Source Firebase Alternative.

Supabase is an open source Firebase alternative. Start your project with a Postgres database, Authentication, instant APIs, Edge Functions, Realtime subscriptions, and Storage.

- [Supabase @ GitHub](https://github.com/supabase/supabase).

Related contents:

- [Supabase WordPress Integration — Save Users Data @ Dale Nguyen&amp;#039;s Medium](https://dalenguyen.medium.com/supabase-wordpress-integration-save-users-data-bcd840bd8b25).
- [Your Supabase Is Public @ Skilldeliver](https://skilldeliver.com/your-supabase-is-public).
- [How to monitor your Supabase projects: connect Grafana Cloud in one click @ Grafana Labs](https://grafana.com/blog/grafana-cloud-supabase-one-click-integration/).]]>
            </summary>
            <updated>2026-07-27T12:21:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5913</id>
            <title type="text"><![CDATA[mongeez]]></title>
            <link rel="alternate" href="https://github.com/mongeez/mongeez" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5913"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MongoDB Easy Change Management.

mongeez allows you to manage changes of your mongo documents and propagate these changes in sync with your code changes when you perform deployments.]]>
            </summary>
            <updated>2025-08-29T08:22:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5917</id>
            <title type="text"><![CDATA[Digital Forensics Artifact Repository]]></title>
            <link rel="alternate" href="https://github.com/ForensicArtifacts/artifacts" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5917"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A free, community-sourced, machine-readable knowledge base of digital forensic artifacts that the world can use both as an information source and within other tools.

If you&amp;#039;d like to use the artifacts in your own tools, all you need to be able to do is read YAML. That is it, no other dependencies. The Python code in this project is just used to validate all the artifacts to make sure they follow the specification.]]>
            </summary>
            <updated>2025-08-29T08:24:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6143</id>
            <title type="text"><![CDATA[dbcli]]></title>
            <link rel="alternate" href="https://github.com/dbcli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6143"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Better CLIs for Databases]]>
            </summary>
            <updated>2025-08-29T09:01:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6215</id>
            <title type="text"><![CDATA[PRQL]]></title>
            <link rel="alternate" href="https://prql-lang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6215"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pipelined Relational Query Language, pronounced &amp;quot;Prequel&amp;quot;.
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement. Like SQL, it&amp;#039;s readable, explicit and declarative. Unlike SQL, it forms a logical pipeline of transformations, and supports abstractions such as variables and functions. It can be used with any database that uses SQL, since it compiles to SQL.

[PRQL @ GitHub](https://github.com/PRQL/prql)]]>
            </summary>
            <updated>2025-08-29T09:13:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6251</id>
            <title type="text"><![CDATA[OmniDB]]></title>
            <link rel="alternate" href="https://github.com/OmniDB/OmniDB" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6251"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Web tool for database management.]]>
            </summary>
            <updated>2025-08-29T09:19:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6252</id>
            <title type="text"><![CDATA[Beekeeper Studio]]></title>
            <link rel="alternate" href="https://www.beekeeperstudio.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6252"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The SQL Editor and Database Manager Of Your Dreams.
A modern, easy to use, and good looking SQL client for MySQL, Postgres, SQLite, SQL Server, and more.]]>
            </summary>
            <updated>2025-08-29T09:19:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6292</id>
            <title type="text"><![CDATA[OSV]]></title>
            <link rel="alternate" href="https://osv.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6292"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A distributed vulnerability database for Open Source.
An open, precise, and distributed approach to producing and consuming vulnerability information for open source. 

- [OSV @ GitHub](https://github.com/google/osv.dev).
- [OSV-Scanner @ GitHub](https://github.com/google/osv-scanner/).

Related contents:

- [Episode \#497: sécurisation de la chaîne d’approvisionnement logicielle (software supply chain) @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/).
- [Episode \#499 consacré aux référentiels de vulnérabilités @ NoLimitSecu :fr:](https://www.nolimitsecu.fr/referentiels-de-vulnerabilites/).
- [Blueprinting Security in CI/CD: Building Trust Through Open Source @ CD Foundation](https://cd.foundation/blog/2026/02/06/blueprinting-security/).]]>
            </summary>
            <updated>2026-02-18T13:12:03+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6382</id>
            <title type="text"><![CDATA[DuckDB]]></title>
            <link rel="alternate" href="https://duckdb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6382"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DuckDB is an in-process SQL OLAP database management system.

DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL
DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use.

- [DuckDB @ GitHub](https://github.com/duckdb/duckdb).

Related contents:

- [DuckDB - Le moteur SQL qui transforme vos données @ Korben :fr:](https://korben.info/duckdb-moteur-sql-transformation-donnees.html).
- [Why DuckDB is my first choice for data processing @ \&amp;gt;robinlinacre](https://www.robinlinacre.com/recommend_duckdb/#why-duckdb-is-my-first-choice-for-data-processing).
- [DuckDB is Probably the Most Important Geospatial Software of the Last Decade @ dbreunig.com](https://www.dbreunig.com/2025/05/03/duckdb-is-the-most-impactful-geospatial-software-in-a-decade.html).
- [Why Semantic Layers Matter — and How to Build One with DuckDB @ MotherDuck](https://motherduck.com/blog/semantic-layer-duckdb-tutorial/).
- [Querying Billions of GitHub Events Using Modal and DuckDB (Part 1: Ingesting Data) @ noreasontopanic](https://noreasontopanic.com/p/querying-billions-of-github-events).
- [DuckDB beats Polars for 1TB of data @ Confessions of a Data Guy](https://www.confessionsofadataguy.com/duckdb-beats-polars-for-1tb-of-data/).
- [Building Your Modern Data Analytics Stack with Python, Parquet, and DuckDB @ KD nuggets](https://www.kdnuggets.com/building-your-modern-data-analytics-stack-with-python-parquet-and-duckdb).
- [Building an Obsidian RAG with DuckDB and MotherDuck @ MotherDuck](https://motherduck.com/blog/obsidian-rag-duckdb-motherduck/).
- [DuckDB Internals: Why is DuckDB Fast? (Part 1) @ Greybeam](https://www.greybeam.ai/blog/duckdb-internals-part-1).
- [To Every Agent Its Own Database  @ Joe Reis](https://joereis.substack.com/p/to-every-agent-its-own-database).
- [DuckDB and the changing physics of analytics @ All Thing Distributed](https://www.allthingsdistributed.com/2026/08/duckdb-and-the-changing-physics-of-analytics.html).]]>
            </summary>
            <updated>2026-09-01T17:51:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6397</id>
            <title type="text"><![CDATA[FerretDB]]></title>
            <link rel="alternate" href="https://www.ferretdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6397"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A truly Open Source MongoDB alternative.
FerretDB (previously MangoDB) was founded to become the de-facto open-source substitute to MongoDB. FerretDB is an open-source proxy, converting the MongoDB 6.0+ wire protocol queries to SQL - using PostgreSQL as a database engine.

- [FerretDB @ GitHub](https://github.com/FerretDB/FerretDB).

Related contents:

- [Microsoft builds open source document database on PostgreSQL, suggests FerretDB as front end @ The Register](https://www.theregister.com/2025/01/27/microsoft_builds_open_source_document/).
- [Building for Developers—Not Imitators @ MongoDB](https://www.mongodb.com/company/blog/building-for-developers-not-imitators).
- [Oxygen Deprivation: FerretDB with Peter Farkas @ Contributor.fyi](https://www.contributor.fyi/ferretdb).
- [FerretDB Was Eating My CPU: Migrating Komodo from SQLite to Postgres @ mauveRANT](https://rant.mvh.dev/ferretdb-was-eating-my-cpu-migrating-komodo-from-sqlite-to-postgres/).]]>
            </summary>
            <updated>2026-03-29T19:27:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6631</id>
            <title type="text"><![CDATA[MindsDB]]></title>
            <link rel="alternate" href="https://github.com/mindsdb/mindsdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6631"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[In-Database Machine Learning.
MindsDB ML-SQL Server enables machine learning workflows for the most powerful databases and data warehouses using SQL.]]>
            </summary>
            <updated>2025-08-29T10:22:40+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6652</id>
            <title type="text"><![CDATA[Neo4j]]></title>
            <link rel="alternate" href="https://neo4j.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6652"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Database Management System.
Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale.
With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.

- [Neo4j @ GitHub](https://github.com/neo4j/neo4j).
 
Related contents:

- [Episode #18: NoSQL Smackdown! @ Changelog Interviews](https://changelog.com/podcast/18).]]>
            </summary>
            <updated>2025-12-09T09:25:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6704</id>
            <title type="text"><![CDATA[ClickHouse]]></title>
            <link rel="alternate" href="https://github.com/ClickHouse/ClickHouse" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6704"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ClickHouse® is a free analytics DBMS for big data.
ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.]]>
            </summary>
            <updated>2025-08-29T10:34:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6802</id>
            <title type="text"><![CDATA[Dgraph]]></title>
            <link rel="alternate" href="https://github.com/dgraph-io/dgraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6802"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Native GraphQL Database with graph backend.
Dgraph is a horizontally scalable and distributed GraphQL database with a graph backend. It provides ACID transactions, consistent replication, and linearizable reads. It&amp;#039;s built from the ground up to perform for a rich set of queries. Being a native GraphQL database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network calls in a cluster.]]>
            </summary>
            <updated>2025-08-29T10:50:56+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6839</id>
            <title type="text"><![CDATA[WiredTiger]]></title>
            <link rel="alternate" href="https://github.com/wiredtiger/wiredtiger" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6839"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[WiredTiger is an high performance, scalable, production quality, NoSQL, Open Source extensible platform for data management.]]>
            </summary>
            <updated>2025-08-29T10:58:00+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6869</id>
            <title type="text"><![CDATA[TinyBase]]></title>
            <link rel="alternate" href="https://tinybase.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6869"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A JavaScript library for structured state. Database engine for javascript.
The reactive data store for local‑first apps. 

TinyBase lets you listen to changes made to any part of your data. This means your app will be fast, since you only spend rendering cycles on things that change. The optional bindings to React and pre-built components let you easily build fully reactive UIs on top of TinyBase. You even get a built-in undo stack, and developer tools!

- [TinyBase @ GitHub](https://github.com/tinyplex/tinybase).]]>
            </summary>
            <updated>2025-08-29T11:02:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6909</id>
            <title type="text"><![CDATA[Mingo]]></title>
            <link rel="alternate" href="https://mingo.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6909"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[MongoDB GUI Admin for 21st century.
The best GUI for MongoDB
Get your MongoDB data under control]]>
            </summary>
            <updated>2025-08-29T11:10:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6935</id>
            <title type="text"><![CDATA[DBeaver]]></title>
            <link rel="alternate" href="https://dbeaver.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6935"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Free multi-platform database tool for developers, database administrators, analysts and all people who need to work with databases. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, etc.]]>
            </summary>
            <updated>2025-08-29T11:14:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6979</id>
            <title type="text"><![CDATA[PGLoader]]></title>
            <link rel="alternate" href="https://pgloader.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6979"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Migrate to PostgreSQL in a single command!

pgloader loads data into PostgreSQL and allows you to implement Continuous Migration from your current database to PostgreSQL. Read the White Paper to learn how to limit risks and control your budget, and start your PostgreSQL migration today!

[PGLoader @ GitHub](https://github.com/dimitri/pgloader)]]>
            </summary>
            <updated>2025-08-29T11:20:10+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6980</id>
            <title type="text"><![CDATA[NMIG]]></title>
            <link rel="alternate" href="https://github.com/AnatolyUss/nmig" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6980"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[NMIG is a database migration tool, written in Node.js and highly inspired by FromMySqlToPostgreSql.
NMIG is an app, intended to make a process of migration from MySQL to PostgreSQL as easy and smooth as possible.]]>
            </summary>
            <updated>2025-08-29T11:20:11+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7007</id>
            <title type="text"><![CDATA[DBML - Database Markup Language]]></title>
            <link rel="alternate" href="https://www.dbml.org/home/#intro" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7007"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DBML (Database Markup Language) is an open-source DSL language designed to define and document database schemas and structures. It is designed to be simple, consistent and highly-readable.]]>
            </summary>
            <updated>2025-08-29T11:26:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7040</id>
            <title type="text"><![CDATA[Badger]]></title>
            <link rel="alternate" href="https://github.com/dgraph-io/badger" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7040"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast key-value DB in Go.
BadgerDB is an embeddable, persistent and fast key-value (KV) database written in pure Go. It is the underlying database for Dgraph, a fast, distributed graph database. It&amp;#039;s meant to be a performant alternative to non-Go-based key-value stores like RocksDB.]]>
            </summary>
            <updated>2025-08-29T11:30:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7126</id>
            <title type="text"><![CDATA[Flyway]]></title>
            <link rel="alternate" href="https://flywaydb.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7126"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Version control for your database

Robust schema evolution across all your environments.
With ease, pleasure, and plain SQL.]]>
            </summary>
            <updated>2025-08-29T11:46:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7147</id>
            <title type="text"><![CDATA[Prisma]]></title>
            <link rel="alternate" href="https://www.prisma.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7147"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Next-generation Node.js and TypeScript ORM for Databases.
Prisma helps app developers build faster and make fewer errors with an open source database toolkit for PostgreSQL, MySQL, SQL Server, and SQLite.

- [Prisma @ GitHub](https://github.com/prisma).

Related contents:

- [Guide complet de Prisma avec NextJS @ codelynx.dev :fr:](https://codelynx.dev/posts/102-guide-prisma).]]>
            </summary>
            <updated>2025-08-29T11:48:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7416</id>
            <title type="text"><![CDATA[TiDB]]></title>
            <link rel="alternate" href="https://www.pingcap.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7416"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TiDB is a distributed NewSQL database compatible with MySQL protocol
TiDB (The pronunciation is: /&amp;#039;taɪdiːbi:/ tai-D-B, etymology: titanium) is a distributed SQL database. Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

- [TiDB @ GitHub](https://github.com/pingcap/tidb).

Related contents:

- [Does MariaDB Depend on MySQL? @ HackerNoon](https://hackernoon.com/does-mariadb-depend-on-mysql).]]>
            </summary>
            <updated>2026-01-30T13:08:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7432</id>
            <title type="text"><![CDATA[Beringei]]></title>
            <link rel="alternate" href="https://github.com/facebookincubator/beringei" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7432"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Beringei is a high performance, in-memory storage engine for time series data.]]>
            </summary>
            <updated>2025-08-29T12:35:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7440</id>
            <title type="text"><![CDATA[Consus]]></title>
            <link rel="alternate" href="https://github.com/rescrv/Consus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7440"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Consus is a geo-replicated transactional key-value store that upholds strong
consistency and fault tolerance guarantees across multiple data centers. By
geo-replicating data, Consus can can withstand correlated failures up to and
including entire data centers, and reduce latency for clients by directing
them to nearby replicas.]]>
            </summary>
            <updated>2025-08-29T12:38:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7452</id>
            <title type="text"><![CDATA[PouchDB]]></title>
            <link rel="alternate" href="https://pouchdb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7452"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the JavaScript Database that Syncs!
PouchDB is an open-source JavaScript database inspired by Apache CouchDB that is designed to run well within the browser.

PouchDB was created to help web developers build applications that work as well offline as they do online.

- [PouchDB @ GitHub](https://github.com/pouchdb/pouchdb).

Related contents:

- [Offline-First with CouchDB and PouchDB in 2025 @ Neighbourhoodie Software](https://neighbourhood.ie/blog/2025/03/26/offline-first-with-couchdb-and-pouchdb-in-2025).]]>
            </summary>
            <updated>2025-08-29T12:39:51+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7492</id>
            <title type="text"><![CDATA[Sybil]]></title>
            <link rel="alternate" href="https://github.com/logv/sybil" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7492"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a fast and simple NoSQL OLAP.
Sybil is an append only analytics datastore with no up front table schema requirements; just log JSON records to a table and run queries. Written in Go, sybil is designed for fast full table scans of multi-dimensional data on a single machine.]]>
            </summary>
            <updated>2025-08-29T12:46:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7521</id>
            <title type="text"><![CDATA[sophia]]></title>
            <link rel="alternate" href="http://sophia.systems/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7521"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Sophia is a modern transactional key-value / row storage library.
How does it differ from other storages?

Sophia is RAM-Disk hybrid storage. It is designed to provide best possible on-disk performance without degradation in time. It has guaranteed O(1) worst case complexity for read, write and range scan operations.]]>
            </summary>
            <updated>2025-08-29T12:51:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7578</id>
            <title type="text"><![CDATA[BuntDB]]></title>
            <link rel="alternate" href="https://github.com/tidwall/buntdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7578"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[BuntDB is a fast, embeddable, in-memory key/value database for Go with geospatial support.
BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It&amp;#039;s ideal for projects that need a dependable database and favor speed over data size.]]>
            </summary>
            <updated>2025-08-29T13:00:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7587</id>
            <title type="text"><![CDATA[Prometheus]]></title>
            <link rel="alternate" href="https://prometheus.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7587"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Monitoring system &amp;amp;amp; time series database.
Power your metrics and alerting with a leading open-source monitoring solution.

Related contents:

- [Scaling With Prometheus: Managing 80M Metrics Smoothly @ Kapil&amp;#039;s Medium](https://kapillamba4.medium.com/hierarchical-federation-in-prometheus-managing-millions-of-metrics-cleanly-8d8bac940ff3).
- [Monitoring a Streamlit App on Google GKE with Prometheus, Grafana, Loki &amp;amp; Alloy @ Omar Din&amp;#039;s Medium](https://medium.com/@omarnour_5895/monitoring-a-streamlit-app-on-gke-with-grafana-loki-alloy-4d1bad572c01).
- [Prometheus with Docker Compose: Guide &amp;amp; Examples @ spacelift](https://spacelift.io/blog/prometheus-docker-compose).
- [From Custom to Open: Scalable Network Probing and HTTP/3 Readiness with Prometheus @ Slack Engineering](https://slack.engineering/from-custom-to-open-scalable-network-probing-and-http-3-readiness-with-prometheus/).]]>
            </summary>
            <updated>2026-04-13T04:10:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7628</id>
            <title type="text"><![CDATA[FlatDB]]></title>
            <link rel="alternate" href="https://github.com/maxkostinevich/flatdb" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7628"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[FlatDB is a simple flat file database designed to persist data using just PHP and flat files. Perfect solution when no other database is available.]]>
            </summary>
            <updated>2025-08-29T13:09:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7663</id>
            <title type="text"><![CDATA[DGraph]]></title>
            <link rel="alternate" href="http://dgraph.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7663"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Scalable, Distributed, Low Latency, High Throughput Graph Database.]]>
            </summary>
            <updated>2025-08-29T13:15:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7711</id>
            <title type="text"><![CDATA[rqlite]]></title>
            <link rel="alternate" href="https://github.com/otoolep/rqlite" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7711"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Replicating SQLite using the Raft consensus protocol.
rqlite is a distributed system that provides a replicated SQLite database. rqlite is written in Go and uses Raft to achieve consensus across all the instances of the SQLite databases. rqlite ensures that every change made to the database is made to a quorum of SQLite files, or none at all.]]>
            </summary>
            <updated>2025-08-29T13:23:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7712</id>
            <title type="text"><![CDATA[GridDB]]></title>
            <link rel="alternate" href="https://github.com/griddb/griddb_nosql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7712"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[high performance, high scalability and high reliability database for big data.
GridDB has a KVS (Key-Value Store)-type data model that is suitable for sensor data stored in a timeseries. It is a database that can be easily scaled-out according to the number of sensors.]]>
            </summary>
            <updated>2025-08-29T13:23:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7721</id>
            <title type="text"><![CDATA[Bouquet]]></title>
            <link rel="alternate" href="http://openbouquet.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source analytics toolbox

Analyze your data without writing a line of SQL.]]>
            </summary>
            <updated>2025-08-29T13:24:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7805</id>
            <title type="text"><![CDATA[GoshawkDB]]></title>
            <link rel="alternate" href="https://goshawkdb.io/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7805"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A distributed, transactional,
fault-tolerant object store]]>
            </summary>
            <updated>2025-08-29T13:39:29+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7817</id>
            <title type="text"><![CDATA[Kinto]]></title>
            <link rel="alternate" href="https://www.kinto-storage.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7817"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kinto is a lightweight JSON storage service with synchronisation and sharing abilities. It is meant to be easy to use and easy to self-host.

Kinto is used at Mozilla and released under the Apache v2 licence.

- [Kinto @ GitHub](https://github.com/Kinto/kinto).]]>
            </summary>
            <updated>2025-08-29T13:40:27+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7825</id>
            <title type="text"><![CDATA[SQLmap]]></title>
            <link rel="alternate" href="http://sqlmap.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7825"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[automatic SQL injection and database takeover tool.

SQLmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers.

- [SQLmap @ GitHub](https://github.com/sqlmapproject/sqlmap).
- [How To Attack Sql Injection Using [SQLMAP] Via Method [POST] @ System Weakness](https://systemweakness.com/how-to-attack-sql-injection-using-sqlmap-via-method-post-cae19495319f).]]>
            </summary>
            <updated>2025-08-29T13:41:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8352</id>
            <title type="text"><![CDATA[HBase - Apache HBase&amp;amp;#153; Home]]></title>
            <link rel="alternate" href="http://hbase.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8352"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache HBase™ is the Hadoop database, a distributed, scalable, big data store. 
Use Apache HBase when you need random, realtime read/write access to your Big Data. This project&amp;#039;s goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google&amp;#039;s Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.]]>
            </summary>
            <updated>2025-08-29T15:09:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8467</id>
            <title type="text"><![CDATA[TextQL]]></title>
            <link rel="alternate" href="https://github.com/dinedal/textql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8467"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Allows you to easily execute SQL against structured text like CSV or TSV.]]>
            </summary>
            <updated>2025-08-29T15:28:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8706</id>
            <title type="text"><![CDATA[SchemaSpy]]></title>
            <link rel="alternate" href="http://schemaspy.sourceforge.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8706"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SchemaSpy is a Java-based tool (requires Java 5 or higher) that analyzes the metadata of a schema in a database and generates a visual representation of it in a browser-displayable format. It lets you click through the hierarchy of database tables via child and parent table relationships as represented by both HTML links and entity-relationship diagrams. It&amp;#039;s also designed to help resolve the obtuse errors that a database sometimes gives related to failures due to constraints.]]>
            </summary>
            <updated>2025-08-29T16:08:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8877</id>
            <title type="text"><![CDATA[Database version control, made easy!]]></title>
            <link rel="alternate" href="http://dbv.vizuina.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8877"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database version control, made easy!]]>
            </summary>
            <updated>2025-08-29T16:37:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9014</id>
            <title type="text"><![CDATA[TaffyDB - The JavaScript Database]]></title>
            <link rel="alternate" href="http://taffydb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9014"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[TaffyDB is an opensouce library that brings database features into your JavaScript applications.]]>
            </summary>
            <updated>2025-08-29T17:01:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9783</id>
            <title type="text"><![CDATA[Drizzle - A database for the cloud]]></title>
            <link rel="alternate" href="http://drizzle.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9783"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This domain name has been registered with Gandi.net. It is currently parked by the owner.]]>
            </summary>
            <updated>2025-08-29T19:08:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9808</id>
            <title type="text"><![CDATA[Redis]]></title>
            <link rel="alternate" href="http://redis.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9808"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.]]>
            </summary>
            <updated>2025-08-29T19:12:27+00:00</updated>
        </entry>
    </feed>
