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    <title>postgresql</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/335/feed"/>
    <updated>2026-06-27T23:36:37+00:00</updated>
    <id>https://links.biapy.com/guest/tags/335/feed</id>
            <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/13052</id>
            <title type="text"><![CDATA[actuallyEXPLAIN]]></title>
            <link rel="alternate" href="https://actuallyexplain.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13052"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Visual SQL Logic Mapper.

 actuallyEXPLAIN is a visualizer that helps you understand logical intent in complex PostgreSQL queries in a diagram and dictionarized form. 

- [actuallyEXPLAIN @ GitHub](https://github.com/freenandes/actuallyexplain).]]>
            </summary>
            <updated>2026-06-18T15:32:11+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/13023</id>
            <title type="text"><![CDATA[NeonD]]></title>
            <link rel="alternate" href="https://github.com/matisiekpl/neond" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13023"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘 

NeonD is an open-source Neon-based control plane daemon for PostgreSQL. It offers S3-based layer durability, instant branching, precise Point-in-time recovery in seconds. Runs as a single Docker container, handles multi-tenant PostgreSQL instances seamlessly.]]>
            </summary>
            <updated>2026-06-15T06:08:09+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/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/12967</id>
            <title type="text"><![CDATA[pg_durable]]></title>
            <link rel="alternate" href="https://microsoft.github.io/pg_durable/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12967"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Durable, crash-proof functions built into Postgres.

Orchestrate retries, scheduling, parallel fan-out, and conditional branching with a tiny SQL DSL. Built on Postgres + a background worker — no containers, no external services, just Postgres. 

- [pg_durable @ GitHub](https://github.com/microsoft/pg_durable).]]>
            </summary>
            <updated>2026-06-08T11:46:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12893</id>
            <title type="text"><![CDATA[pgGraph]]></title>
            <link rel="alternate" href="https://github.com/Evokoa/pgGraph" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12893"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source graph database superpowers for your existing Postgres data. 

 pgGraph is a PostgreSQL extension for running graph search, traversal, shortest path, and relationship queries directly against ordinary PostgreSQL tables.

Your tables stay the source of truth. pgGraph builds a derived graph index and lets you query it from SQL using functions in the graph schema.]]>
            </summary>
            <updated>2026-06-02T06:41:56+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/12764</id>
            <title type="text"><![CDATA[pgEdge AI DBA Workbench]]></title>
            <link rel="alternate" href="https://docs.pgedge.com/ai-dba-workbench/v1-0-0-beta1/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12764"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An AI-powered environment for monitoring, managing, and troubleshooting PostgreSQL systems.

- [pgEdge AI DBA Workbench @ GitHub](https://github.com/pgEdge/ai-dba-workbench).]]>
            </summary>
            <updated>2026-05-15T13:22:19+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/12625</id>
            <title type="text"><![CDATA[Stash]]></title>
            <link rel="alternate" href="https://alash3al.github.io/stash/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12625"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Persistent Memory for AI Agents. Your AI has amnesia.

Stash makes your AI remember you. Every session. Forever. No more explaining yourself from scratch.

 persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required. 

- [Stash @ GitHub](https://github.com/alash3al/stash).]]>
            </summary>
            <updated>2026-04-27T11:53:35+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/12582</id>
            <title type="text"><![CDATA[PgQue]]></title>
            <link rel="alternate" href="https://github.com/NikolayS/pgque" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12582"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Zero-bloat Postgres queue. One SQL file to install, pg_cron to tick.

For teams who want a durable event stream inside Postgres. The model is closer to Kafka (log) than to ActiveMQ or RabbitMQ (task message queue). Shared event log, independent per-consumer cursors, zero bloat under sustained load. Pure SQL and PL/pgSQL, any Postgres 14+ — managed or self-hosted, no sidecar daemon. The rest of this README walks the history, comparison, and install paths that back up the claim.]]>
            </summary>
            <updated>2026-04-20T11:20:22+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/12433</id>
            <title type="text"><![CDATA[rpg]]></title>
            <link rel="alternate" href="https://github.com/NikolayS/rpg" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12433"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[modern Postgres terminal written in Rust. psql-compatible, with built-in DBA diagnostics and AI assistant.

A psql-compatible terminal written in Rust with built-in DBA diagnostics and AI assistant. Single binary, no dependencies, cross-platform.]]>
            </summary>
            <updated>2026-04-07T05:43:46+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12405</id>
            <title type="text"><![CDATA[pGenie]]></title>
            <link rel="alternate" href="https://pgenie.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12405"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Write SQL. Ship confidence.
SQL-first tooling for PostgreSQL
Type-safe PostgreSQL client code generator.

pGenie validates SQL, manages indexes, and generates type-safe client SDKs — all derived from the migrations and queries in plain SQL. 

- [pGenie @ GitHub](https://github.com/pgenie-io/pgenie).]]>
            </summary>
            <updated>2026-04-03T16:43:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12389</id>
            <title type="text"><![CDATA[pg_textsearch]]></title>
            <link rel="alternate" href="https://github.com/timescale/pg_textsearch" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12389"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL extension for BM25 relevance-ranked full-text search. Postgres OSS licensed.]]>
            </summary>
            <updated>2026-04-03T12:50:15+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/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/12277</id>
            <title type="text"><![CDATA[Elephantshark]]></title>
            <link rel="alternate" href="https://github.com/neondatabase/elephantshark" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12277"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Elephantshark helps monitor, understand and troubleshoot Postgres network traffic: Postgres clients, drivers and ORMs talking to Postgres servers, proxies and poolers (also: standby servers talking to their primaries and subscriber servers talking to their publishers).

Elephantshark sits between the two parties in a PostgreSQL-protocol exchange, forwarding messages in both directions while parsing and logging them.

Related contents:

- [Ctrl-C in psql gives me the heebie-jeebies @ Neon](https://neon.com/blog/ctrl-c-in-psql-gives-me-the-heebie-jeebies).]]>
            </summary>
            <updated>2026-03-24T13:45:16+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12215</id>
            <title type="text"><![CDATA[pgtui]]></title>
            <link rel="alternate" href="https://codeberg.org/kdwarn/pgtui" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12215"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pgtui is a Postgres TUI client that handles basic CRUD operations on databases.

There are two main windows in the app, one with the available relations in the selected database and the other with the data of those relations. You can easily scroll through both, filter relations by type or name, sort the data by columns, or filter the data via a where clause entered into a dialog box.

Related contents:

- [Introducing pgtui, a Postgres TUI client @ kdwarn](https://kdwarn.net/programming/blog/227).]]>
            </summary>
            <updated>2026-03-20T13:47:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12190</id>
            <title type="text"><![CDATA[pgit]]></title>
            <link rel="alternate" href="https://github.com/ImGajeed76/pgit" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12190"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Git-like version control CLI backed by PostgreSQL with pg-xpatch delta compression.

Related contents:

- [pgit: What If Your Git History Was a SQL Database? @ oseifert](https://oseifert.ch/blog/building-pgit).
- [pgit: I Imported the Linux Kernel into PostgreSQL @ oseifert](https://oseifert.ch/blog/linux-kernel-pgit).]]>
            </summary>
            <updated>2026-04-20T05:41:53+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/12102</id>
            <title type="text"><![CDATA[Wrappers]]></title>
            <link rel="alternate" href="https://fdw.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12102"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Wrappers is a Rust framework for developing PostgreSQL Foreign Data Wrappers.

- [Wrappers @ GitHub](https://github.com/supabase/wrappers).

Related contents:

- [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>2026-03-12T11:35:18+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12075</id>
            <title type="text"><![CDATA[SpaceChatDB]]></title>
            <link rel="alternate" href="https://github.com/Lethalchip/SpaceChatDB" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12075"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the world&amp;#039;s first video call over a database.

Don&amp;#039;t use this!

Related contents:

- [Video Conferencing with Postgres @ PlanetScale](https://planetscale.com/blog/video-conferencing-with-postgres).]]>
            </summary>
            <updated>2026-03-10T12:11:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12052</id>
            <title type="text"><![CDATA[🗄️ pg_semantic_cache]]></title>
            <link rel="alternate" href="https://github.com/pgEdge/pg_semantic_cache" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12052"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Intelligent Query Result Caching for PostgreSQL

Leverage vector embeddings to cache and retrieve query results based on semantic similarity.

- [Semantic Caching in PostgreSQL: A Hands-On Guide to pg_semantic_cache @ pgEdge](https://www.pgedge.com/blog/semantic-caching-in-postgresql-a-hands-on-guide-to-pg_semantic_cache).]]>
            </summary>
            <updated>2026-03-09T07:48:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11951</id>
            <title type="text"><![CDATA[Gitgres]]></title>
            <link rel="alternate" href="https://github.com/andrew/gitgres" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11951"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Store git objects and refs in PostgreSQL tables. Standard git push/clone work against the database through a libgit2-based backend.

Related contents:

- [Git in Postgres @ Andrew Nesbitt](https://nesbitt.io/2026/02/26/git-in-postgres.html).]]>
            </summary>
            <updated>2026-02-27T12:43:17+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/11927</id>
            <title type="text"><![CDATA[Brutus]]></title>
            <link rel="alternate" href="https://github.com/praetorian-inc/brutus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11927"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Modern credential testing tool in pure Go.

Fast, zero-dependency credential testing tool in Go. Brute force SSH, MySQL, PostgreSQL, Redis, MongoDB, SMB, and 20+ protocols. Hydra alternative with native fingerprintx/naabu pipeline integration. 

Brutus is a multi-protocol authentication testing tool designed to address a critical gap in offensive security tooling: efficient credential validation across diverse network services. While HTTP-focused tools are abundant, penetration testers and red team operators frequently encounter databases, SSH, SMB, and other network services that require purpose-built authentication testing capabilities.]]>
            </summary>
            <updated>2026-02-26T11:12:58+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/11854</id>
            <title type="text"><![CDATA[pg-typesafe]]></title>
            <link rel="alternate" href="https://github.com/n-e/pg-typesafe" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11854"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Strongly typed queries for PostgreSQL and TypeScript 

pg-typesafe generates TypeScript types for PostgreSQL queries.
It does so with no runtime dependencies, and zero additional verbosity.]]>
            </summary>
            <updated>2026-02-18T13:21:30+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/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/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/11440</id>
            <title type="text"><![CDATA[Elo]]></title>
            <link rel="alternate" href="https://elo-lang.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11440"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A purely functional expression language for No-Code tools. A simple, well-designed, portable, and safe data expression language.

Elo compiles to JavaScript, Ruby, and SQL. Built for No-Code tools where non-technical users need to manipulate data easily and safely.

- [Elo @ GitHub](https://github.com/enspirit/elo).

Related contents:

- [Elo – Quand une IA écrit un langage de programmation complet sans intervention humaine @ Korben :fr:](https://korben.info/elo-langage-ia-claude-code.html).
- [How an experienced developer teamed up with Claude to create Elo programming language @ The Register](https://www.theregister.com/2026/01/24/human_ai_pair_programming_elo/).]]>
            </summary>
            <updated>2026-01-26T10:42:07+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/11396</id>
            <title type="text"><![CDATA[pgautoupgrade]]></title>
            <link rel="alternate" href="https://github.com/pgautoupgrade/docker-pgautoupgrade" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11396"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A PostgreSQL Docker container that automatically upgrades your database.

Its whole purpose in life is to automatically detect the version of PostgreSQL used in the existing PostgreSQL data directory, then automatically upgrade it (if needed) to the required version of PostgreSQL using pg_upgrade with the --link option.]]>
            </summary>
            <updated>2026-01-06T15:48:54+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/11271</id>
            <title type="text"><![CDATA[pgpm]]></title>
            <link rel="alternate" href="https://pgpm.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11271"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Postgres Package Manager.

Modular Postgres development with reusable packages, deterministic migrations, recursive dependency resolution, tag-aware versioning, and turnkey module-first workspaces.

Related contents:

- [Constructive Launches pgpm: Modular Postgres for Large-Scale Application Development
 @ Fox59](https://fox59.com/business/press-releases/cision/20251217SF49411/constructive-launches-pgpm-modular-postgres-for-large-scale-application-development/).]]>
            </summary>
            <updated>2025-12-22T06:49:12+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/11238</id>
            <title type="text"><![CDATA[mooncake]]></title>
            <link rel="alternate" href="https://www.mooncake.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11238"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a data lakehouse for you and me. managed + real-time Iceberg.

🥮 is real-time + managed Apache Iceberg.
bringing open analytical tables on object store to every team.

pg_mooncake is a ClickHouse alternative for real-time analytics built on Postgres. It turns Postgres into a real-time analytics database by adding:

    Columnar storage (Apache Iceberg, via Moonlink)
    Vectorized execution with DuckDB (via pg_duckdb).

Fast analytics queries require both columnar storage &amp;amp; vectorized execution, and previous Postgres analytics solutions only solved half the problem.

- [mooncake @ GitHub](https://github.com/Mooncake-Labs/).]]>
            </summary>
            <updated>2025-12-15T10:10:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11217</id>
            <title type="text"><![CDATA[DataQueue]]></title>
            <link rel="alternate" href="https://dataqueue.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11217"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, PostgreSQL-backed job queue.
Handle background jobs with ease.

DataQueue allows you to utilize your existing PostgreSQL database to process background jobs. No need for additional infra or services.

A lightweight, PostgreSQL-backed job queue for Node.js/TypeScript projects. Schedule, process, and manage background jobs with ease. Perfect for web apps (Next.js, etc.) deployed to serverless platforms like Vercel, AWS Lambda, etc.

- [DataQueue @ GitHub](https://github.com/nicnocquee/dataqueue).]]>
            </summary>
            <updated>2025-12-12T07:33:47+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/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/11036</id>
            <title type="text"><![CDATA[Memori]]></title>
            <link rel="alternate" href="https://memorilabs.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11036"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[An open-source SQL-Native memory engine for AI.
Open-Source Memory Engine for LLMs, AI Agents &amp;amp; Multi-Agent Systems.

 One line of code to give any LLM persistent, queryable memory using standard SQL databases.

Memori enables any LLM to remember conversations, learn from interactions, and maintain context across sessions with a single line: memori.enable(). Memory is stored in standard SQL databases (SQLite, PostgreSQL, MySQL) that you fully own and control.]]>
            </summary>
            <updated>2025-11-21T13:00:13+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/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/10890</id>
            <title type="text"><![CDATA[pg_lake]]></title>
            <link rel="alternate" href="https://github.com/Snowflake-Labs/pg_lake" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10890"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres with Iceberg and data lake access.

pg_lake integrates Iceberg and data lake files into Postgres. With the pg_lake extensions, you can use Postgres as a stand-alone lakehouse system that supports transactions and fast queries on Iceberg tables, and can directly work with raw data files in object stores like S3.

Related contents:

- [Postgres Is the Gateway Drug @ Vignesh Ravichandran](https://viggy28.dev/article/postgres-gateway-drug/).]]>
            </summary>
            <updated>2026-03-23T16:36:25+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/10737</id>
            <title type="text"><![CDATA[Joist]]></title>
            <link rel="alternate" href="https://joist-orm.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10737"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A TypeScript ORM for Majestic Monoliths and PostgreSQL.

- [Joist @ GitHub](https://github.com/joist-orm/joist-orm).

Related contents:

- [Lazy Fields for 30x speedup without Decorators or Transforms @ Joist](https://joist-orm.io/blog/lazy-fields/).]]>
            </summary>
            <updated>2025-10-20T12:14:50+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/10721</id>
            <title type="text"><![CDATA[Code-First CDC to ClickHouse with Debezium, Redpanda, and MooseStack]]></title>
            <link rel="alternate" href="https://github.com/514-labs/debezium-cdc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy-to-run demo of a CDC pipeline using Debezium (Kafka Connect), PostgreSQL, Redpanda, and ClickHouse.]]>
            </summary>
            <updated>2025-10-20T06:22:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10651</id>
            <title type="text"><![CDATA[pglinter]]></title>
            <link rel="alternate" href="https://pglinter.readthedocs.io/en/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10651"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pglinter is a PostgreSQL extension that analyzes your database for potential issues, performance problems, and best practice violations. Written in Rust using pgrx, it provides deep integration with PostgreSQL for efficient database analysis.

- [pglinter @ GitHub](https://github.com/pmpetit/pglinter).]]>
            </summary>
            <updated>2025-10-14T11:43:41+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/10618</id>
            <title type="text"><![CDATA[Velld]]></title>
            <link rel="alternate" href="https://velld.vercel.app/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10618"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Database Backup Management Tool. Backup your databases with ease.

Automated scheduling, monitoring, and recovery for PostgreSQL, MySQL, and MongoDB.
A self-hosted database backup management tool. Schedule automated backups, monitor status, and manage multiple databases from one place.

- [Velld @ GitHub](https://github.com/dendianugerah/velld).

Related contents:

- [Best Docker Apps of October 2025! @ ServersatHome&amp;#039;s YouTube](https://www.youtube.com/watch?v=dMhUiJqohFU).]]>
            </summary>
            <updated>2025-11-16T16:29:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10607</id>
            <title type="text"><![CDATA[Spock Multi-Master Replication for PostgreSQL]]></title>
            <link rel="alternate" href="https://github.com/pgEdge/spock?utm_source=tldrnewsletter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10607"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Logical multi-master PostgreSQL replication.]]>
            </summary>
            <updated>2025-10-10T11:56:43+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/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/10426</id>
            <title type="text"><![CDATA[RisingWave]]></title>
            <link rel="alternate" href="https://risingwave.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10426"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Real-Time Event Streaming Platform.
Streaming CDC, stream processing, low-latency serving, and Iceberg management. 

RisingWave is a real-time event streaming platform designed to offer the simplest and most cost-effective way to process, analyze, and manage real-time event data — with built-in support for the Apache Iceberg™ open table format. It provides both a Postgres-compatible SQL interface and a DataFrame-style Python interface.

RisingWave can ingest millions of events per second, continuously join and analyze live streams with historical data, serve ad-hoc queries at low latency, and persist fresh, consistent results to Apache Iceberg™ or any other downstream system.

- [RisingWave @ GitHub](https://github.com/risingwavelabs/risingwave).

Related contents:

- [The Case for Hybrid Cache for Object Stores @ Data Engineer Things&amp;#039; Medium](https://blog.dataengineerthings.org/the-case-for-hybrid-cache-for-object-stores-4b1f02ec6c9a).
- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).]]>
            </summary>
            <updated>2025-12-08T13:43:05+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/10329</id>
            <title type="text"><![CDATA[Stategraph]]></title>
            <link rel="alternate" href="https://stategraph.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10329"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terraform without the state file bottleneck.

Stategraph replaces the flat state file with a database-backed graph. Independent changes can run in parallel, and the state becomes queryable and auditable. No code changes. 

Related contents:

- [Why We&amp;#039;re Building Stategraph: Terraform State as a Distributed Systems Problem @ Stategraph](https://stategraph.dev/blog/why-stategraph).]]>
            </summary>
            <updated>2025-09-22T05:53:06+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10214</id>
            <title type="text"><![CDATA[pgschema]]></title>
            <link rel="alternate" href="https://www.pgschema.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10214"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Terraform-style, declarative schema migration for Postgres.

pgschema is a CLI tool that brings terraform-style declarative schema migration workflow to Postgres.

- [pgschema @ GitHub](https://github.com/pgschema/pgschema).]]>
            </summary>
            <updated>2025-09-15T13:59:38+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/10081</id>
            <title type="text"><![CDATA[PostgreSQL MCP Server]]></title>
            <link rel="alternate" href="https://github.com/modelcontextprotocol/servers-archived/tree/main/src/postgres" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10081"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.

Related contents:

- [MCP vulnerability case study: SQL injection in the Postgres MCP server @ Datadog](https://securitylabs.datadoghq.com/articles/mcp-vulnerability-case-study-SQL-injection-in-the-postgresql-mcp-server/).]]>
            </summary>
            <updated>2025-09-09T08:06:25+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/267</id>
            <title type="text"><![CDATA[PlanetScale]]></title>
            <link rel="alternate" href="https://planetscale.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/267"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[the world’s fastest and most scalable cloud databases.

PlanetScale brings you the fastest databases available in the cloud. Both our Postgres and Vitess databases deliver exceptional speed and reliability, with Vitess adding ultra scalability through horizontal sharding.

Related contents:

- [Episode \#651: Bringing Vitess to Postgres @ Changelog Interviews](https://changelog.com/podcast/651).
- [Why We Migrated from Neon to PlanetScale @ OpenSecret](https://blog.opensecret.cloud/why-we-migrated-from-neon-to-planetscale/).]]>
            </summary>
            <updated>2025-11-12T16:24:39+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/338</id>
            <title type="text"><![CDATA[FireGEO]]></title>
            <link rel="alternate" href="https://github.com/mendableai/firegeo" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/338"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-Source SaaS Starter.

🔥 GEO-powered SaaS starter built with Firecrawl for brand monitoring, auth, and billing.

Get your SaaS running in minutes with authentication, billing, AI chat, and brand monitoring. Zero-config setup with Next.js 15, TypeScript, and PostgreSQL.

Related contents:

- [\#116: Les news sur le développement web et l&amp;#039;IA pour juillet 2025 RC1@ Double Slash :fr:](https://double-slash.dev/podcasts/news-jul25/).]]>
            </summary>
            <updated>2026-01-21T13:12:25+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/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/485</id>
            <title type="text"><![CDATA[PLJS]]></title>
            <link rel="alternate" href="https://github.com/plv8/pljs" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/485"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Javascript Language Plugin for PostreSQL.

PLJS is a trusted JavaScript Language Extension for PostgreSQL.

It is compact, lightweight, and fast.]]>
            </summary>
            <updated>2025-08-28T17:18:11+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/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/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/857</id>
            <title type="text"><![CDATA[Chartbrew]]></title>
            <link rel="alternate" href="https://chartbrew.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/857"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Client reports for your team and clients.

Open-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊 

- [Chartbrew @ GitHub](https://github.com/chartbrew/chartbrew).]]>
            </summary>
            <updated>2025-08-28T18:20:26+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).]]>
            </summary>
            <updated>2026-03-12T11:35:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/973</id>
            <title type="text"><![CDATA[Clidey WhoDB]]></title>
            <link rel="alternate" href="https://whodb.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/973"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface 

- [WhoDB @ GitHub](https://github.com/clidey/whodb).

Related contents:

- [Digest #186: Inside the AWS Outage, Docker Compose in Production, F1 Hacks and 86,000 npm Packages Attacks @ DevOps Bulletin](https://www.devopsbulletin.com/p/digest-186-inside-the-aws-outage).]]>
            </summary>
            <updated>2025-11-03T10:12:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1017</id>
            <title type="text"><![CDATA[Warpgate]]></title>
            <link rel="alternate" href="https://warpgate.null.page/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1017"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The last bastion

Secure access to your internal SSH, HTTPS, MySQL and Postgres servers with SSO and RBAC.

- [Warpgate @ GitHub](https://github.com/warp-tech/warpgate).

Related contents:

- [ Warpgate : Fini la galère des accès SSH et BDD : J’ai trouvé la perle rare ! 🚀 @ Le Geek Heureux :fr:](https://legeekheureux.fr/warpgate-fini-la-galere-des-acces-ssh-et-bdd-jai-trouve-la-perle-rare-%F0%9F%9A%80/).
- [Warpgate - You shall not pass! @ À l&amp;#039;encre rouillée :fr:](https://david.drugeon-hamon.bzh/blog/2025/11/warpgate/).]]>
            </summary>
            <updated>2025-11-05T10:42:30+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/1101</id>
            <title type="text"><![CDATA[PG-MCP]]></title>
            <link rel="alternate" href="https://github.com/stuzero/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.]]>
            </summary>
            <updated>2025-08-28T18:59:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1104</id>
            <title type="text"><![CDATA[Postgres Language Server]]></title>
            <link rel="alternate" href="https://pgtools.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1104"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A collection of language tools and a Language Server Protocol (LSP) implementation for Postgres, focusing on developer experience and reliable SQL tooling.

- [Postgres Language Server @ GitHub](https://github.com/supabase-community/postgres-language-server).
 
Related contents:

- [Postgres Language Server: Initial Release @ Supabase blog](https://supabase.com/blog/postgres-language-server).]]>
            </summary>
            <updated>2025-08-28T19:00:47+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/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/).]]>
            </summary>
            <updated>2025-11-04T12:50:40+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/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/).]]>
            </summary>
            <updated>2025-09-29T06:02:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1462</id>
            <title type="text"><![CDATA[PeerDB]]></title>
            <link rel="alternate" href="https://www.peerdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1462"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage.

PeerDB is an ETL/ELT tool built for PostgreSQL. We implement multiple Postgres native and infrastructural optimizations to provide a fast, reliable and a feature-rich experience for moving data in/out of PostgreSQL.

- [PeerDB @ GitHub](https://github.com/PeerDB-io/peerdb).

Related contents:

- [Reliably Replicating Data Between PostgreSQL and ClickHouse Part 1 - PeerDB Open Source @ BenjaminWootton.com](https://benjaminwootton.com/insights/clickhouse-peerdb-cdc/).
- [Postgres Is the Gateway Drug @ Vignesh Ravichandran](https://viggy28.dev/article/postgres-gateway-drug/).]]>
            </summary>
            <updated>2026-03-23T16:36:55+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/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/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/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/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/1917</id>
            <title type="text"><![CDATA[DBOS Transact]]></title>
            <link rel="alternate" href="https://github.com/dbos-inc/dbos-transact-ts" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1917"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Ultra-Lightweight Durable Execution in TypeScript.
DBOS Transact: A Lightweight Durable Execution Library Built on Postgres.

Durable execution means persisting the execution state of your program while it runs, so if it is ever interrupted or crashes, it automatically resumes from where it left off. Durable execution helps solve many common problems:]]>
            </summary>
            <updated>2025-08-28T21:16:08+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2207</id>
            <title type="text"><![CDATA[pg_incremental]]></title>
            <link rel="alternate" href="https://github.com/CrunchyData/pg_incremental" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2207"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Incremental Data Processing in PostgreSQL.

pg_incremental is a simple extension that helps you do fast, reliable, incremental batch processing in PostgreSQL.

When storing an append-only stream of event data in PostgreSQL (e.g. IoT, time series), a common challenge is to process only the new data. For instance, you might want to create one or more summary tables containing pre-aggregated data, and insert or update aggregates as new data arrives. However, you cannot really know the data that is still being inserted by concurrent transactions, and immediately aggregating data when inserting (e.g. via triggers) is certain to create a concurrency bottleneck. You also want to make sure that all new events are processed successfully exactly once, even when queries fail.]]>
            </summary>
            <updated>2025-08-28T22:04:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2408</id>
            <title type="text"><![CDATA[sqls]]></title>
            <link rel="alternate" href="https://github.com/sqls-server/sqls" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2408"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQL language server written in Go.

sqls aims to provide advanced intelligence for you to edit sql in your own editor.]]>
            </summary>
            <updated>2025-10-28T07:09:11+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/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/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/).]]>
            </summary>
            <updated>2026-06-22T06:31:16+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/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/2791</id>
            <title type="text"><![CDATA[pglite-fusion]]></title>
            <link rel="alternate" href="https://github.com/frectonz/pglite-fusion" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2791"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Embed an SQLite database in your PostgreSQL table. AKA multitenancy has been solved.]]>
            </summary>
            <updated>2025-08-28T23:41:28+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/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/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/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/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/3016</id>
            <title type="text"><![CDATA[Clidey WhoDB]]></title>
            <link rel="alternate" href="https://whodb.clidey.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3016"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB &amp;amp; Elastic Search with Chat interface.

- [WhoDB @ GitHub](https://github.com/clidey/whodb).]]>
            </summary>
            <updated>2025-08-29T00:20:19+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/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/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/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/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/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/3477</id>
            <title type="text"><![CDATA[Postgres Sandbox]]></title>
            <link rel="alternate" href="https://postgres.new/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3477"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[In-browser Postgres sandbox with AI assistance.

With postgres.new, you can instantly spin up an unlimited number of Postgres databases that run directly in your browser (and soon, deploy them to S3).

- [postgres.new @ GitHub](https://github.com/supabase-community/postgres-new).]]>
            </summary>
            <updated>2025-08-29T01:37:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3504</id>
            <title type="text"><![CDATA[rainfrog]]></title>
            <link rel="alternate" href="https://crates.io/crates/rainfrog" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3504"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[a database management tui for postgres.

the goal for rainfrog is to provide a lightweight, terminal-based alternative to pgadmin/dbeaver.

- [rainfrog @ GitHub](https://github.com/achristmascarl/rainfrog).]]>
            </summary>
            <updated>2025-08-29T01:41:10+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/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/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/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/3931</id>
            <title type="text"><![CDATA[pgrx]]></title>
            <link rel="alternate" href="https://github.com/pgcentralfoundation/pgrx" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3931"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build Postgres Extensions with Rust!

pgrx is a framework for developing PostgreSQL extensions in Rust and strives to be as idiomatic and safe as possible.

Related contents:

- [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>2026-03-12T11:34:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4019</id>
            <title type="text"><![CDATA[PGAudit]]></title>
            <link rel="alternate" href="https://www.pgaudit.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4019"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL Auditing Extension.

The PostgreSQL Audit Extension (or pgaudit) provides detailed session and/or object audit logging via the standard logging facility provided by PostgreSQL. The goal of PostgreSQL Audit to provide the tools needed to produce audit logs required to pass certain government, financial, or ISO certification audits. 

- [PGAudit @ GitHub](https://github.com/pgaudit/pgaudit).
- [Just Use Postgres for Everything @ Amazing CTO](https://www.amazingcto.com/postgres-for-everything/).]]>
            </summary>
            <updated>2025-08-29T03:06:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4020</id>
            <title type="text"><![CDATA[GraphJin]]></title>
            <link rel="alternate" href="https://graphjin.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4020"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build APIs in 5 minutes. Build NodeJS / GO APIs in 5 minutes not weeks.
A GraphQL-to-SQL converting app.

Just write simple GraphQL queries to define the data you need and GraphJin will auto-magically convert them into efficient SQL queries and fetch the data you need.

- [GraphJin @ GitHub](https://github.com/dosco/graphjin).
- [Comparing plain SQL, ORM and GraphQL performance in Golang @ Mastodon](https://www.amazingcto.com/graphql-for-server-development/).
- [Just Use Postgres for Everything @ Amazing CTO](https://www.amazingcto.com/postgres-for-everything/).]]>
            </summary>
            <updated>2025-08-29T03:06:54+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/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/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).
- [ldap2pg 6.1 disponible @ Dalibo :fr:](https://blog.dalibo.com/2024/06/03/ldap2pg-6.1.html).]]>
            </summary>
            <updated>2025-08-29T03:22:08+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/4171</id>
            <title type="text"><![CDATA[ILLA Cloud]]></title>
            <link rel="alternate" href="https://illacloud.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4171"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Create business apps like assembling blocks.
Build website&amp;amp;app with low code, make automated flow, create AI Agent easily.

Low-code platform allows you to build business apps, enables you to quickly create internal tools such as dashboard, crud app, admin panel, crm, cms, etc. Supports PostgreSQL, MySQL, Supabase, GraphQL, MongoDB, MSSQL, Rest API, Hugging Face, Redis, etc. Automate workflows with schedule or webhook. Open source Retool. 

- [ILLA Builder @ GitHub](https://github.com/illacloud/illa-builder).
- [La veille des Ours - nº24 @ Bearstech&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/pulse/la-veille-des-ours-n%25C2%25BA23-bearstech-ytbef/).]]>
            </summary>
            <updated>2025-08-29T03:32:05+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/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/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/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/4637</id>
            <title type="text"><![CDATA[beberlei/DoctrineExtensions]]></title>
            <link rel="alternate" href="https://github.com/beberlei/DoctrineExtensions" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4637"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A set of extensions to Doctrine 2 that add support for functions available in MySQL, Oracle, PostgreSQL and SQLite.]]>
            </summary>
            <updated>2025-08-29T04:50:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4638</id>
            <title type="text"><![CDATA[postgresql-for-doctrine]]></title>
            <link rel="alternate" href="https://github.com/martin-georgiev/postgresql-for-doctrine" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4638"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL enhancements for Doctrine. Provides support for advanced data types (json, jssnb, arrays), text search, array operators and jsonb specific functions

It adds supports for `REGEXP`, `SIMILAR_TO`, `JSON_GET_FIELD` and `CONTAINS`.]]>
            </summary>
            <updated>2025-08-29T04:50:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4642</id>
            <title type="text"><![CDATA[Budibase]]></title>
            <link rel="alternate" href="https://budibase.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4642"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Build internal tools in minutes, the easy way.

Low code platform for creating internal tools, workflows, and admin panels in minutes. Supports PostgreSQL, MySQL, MSSQL, MongoDB, Rest API, Docker, K8s, and more 🚀. Budibase, the low code platform you&amp;#039;ll enjoy using ⚡.

- [Budibase @ GitHub](https://github.com/Budibase/budibase).]]>
            </summary>
            <updated>2025-08-29T04:50:51+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/4827</id>
            <title type="text"><![CDATA[Lantern]]></title>
            <link rel="alternate" href="https://lantern.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4827"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The most powerful vector database for building AI applications. Open-source PostgreSQL database extension for vector data and vector search operations.

Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.

- [Lantern @ GitHub](https://github.com/lanterndata/lantern).]]>
            </summary>
            <updated>2025-08-29T05:21:04+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/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/5023</id>
            <title type="text"><![CDATA[AgeSQL]]></title>
            <link rel="alternate" href="https://github.com/AGEDB-INC/AgeSQL" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5023"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Database CLI based on PostgreSQL psql.

AgeSQL is a command-line interface (CLI) client for PostgreSQL that extends its capabilities to support Cypher queries along with traditional SQL. This tool leverages the Age extension for PostgreSQL, which enables graph queries within the database.

The aim of AgeSQL is to create a CLI tool that operates similarly to the existing PostgreSQL CLI (psql) and provides complete functionality for working with graph databases. In addition, AgeSQL wraps Cypher commands to simplify their usage within PostgreSQL.]]>
            </summary>
            <updated>2025-08-29T05:55:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5033</id>
            <title type="text"><![CDATA[Geeklog]]></title>
            <link rel="alternate" href="https://www.geeklog.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5033"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The secure CMS.

Geeklog is an open source application for managing dynamic web content. It is written in PHP and supports MySQL or PostgreSQL as the database backend. 

&amp;quot;Out of the box&amp;quot;, it is a blog engine, or a CMS with support for comments,
trackbacks, multiple syndication formats, spam protection, and all the other
vital features of such a system.

[Geeklog @ GitHub](https://github.com/Geeklog-Core/geeklog/).]]>
            </summary>
            <updated>2025-08-29T05:55:26+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/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/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/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/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/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/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).]]>
            </summary>
            <updated>2025-12-23T12:55:23+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/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/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/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/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/7369</id>
            <title type="text"><![CDATA[BoldR]]></title>
            <link rel="alternate" href="https://github.com/strues/boldr" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7369"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[React based CMF / blogging engine using Redux, Postgres, Node, and more...]]>
            </summary>
            <updated>2025-08-29T12:26:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8804</id>
            <title type="text"><![CDATA[pgFouine - a PostgreSQL log analyzer]]></title>
            <link rel="alternate" href="http://pgfouine.projects.pgfoundry.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8804"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pgFouine is a PostgreSQL log analyzer used to generate detailed reports from a PostgreSQL log file. pgFouine can help you to determine which queries you should optimize to speed up your PostgreSQL based application.]]>
            </summary>
            <updated>2025-08-29T16:25:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9356</id>
            <title type="text"><![CDATA[Rapide configuration de PostgreSQL]]></title>
            <link rel="alternate" href="http://www.unixgarden.com/index.php/web/rapide-configuration-de-postgresql" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9356"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[PostgreSQL et son fichier de configuration de 17 Ko sur 503 lignes : rien de moins que 180 et quelques paramètres. Cela n’aide clairement pas un débutant à se lancer. Pourtant, il faut savoir que seule une grosse dizaine de paramètres sont essentiels à configurer. Le reste n’a pour cible que les cas très particuliers.]]>
            </summary>
            <updated>2025-08-29T17:57:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9741</id>
            <title type="text"><![CDATA[HOWTO sur l&amp;#039;usage de PostgreSQL]]></title>
            <link rel="alternate" href="http://www.gcolpart.com/howto/postgresql.php4" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9741"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[]]>
            </summary>
            <updated>2025-08-29T19:02:34+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9742</id>
            <title type="text"><![CDATA[Debian and PostgreSQL Install - AdempiereWiki]]></title>
            <link rel="alternate" href="http://www.adempiere.com/index.php/Debian_and_PostgreSQL_Install" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9742"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[]]>
            </summary>
            <updated>2025-08-29T19:02:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/9837</id>
            <title type="text"><![CDATA[SQuirreL SQL Client Home Page]]></title>
            <link rel="alternate" href="http://www.squirrelsql.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/9837"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SQuirreL SQL is an open-source Java SQL Client program for any JDBC compliant database]]>
            </summary>
            <updated>2025-08-29T19:18:30+00:00</updated>
        </entry>
    </feed>
