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    <title>dbms</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/825/feed"/>
    <updated>2026-04-28T08:56:42+00:00</updated>
    <id>https://links.biapy.com/guest/tags/825/feed</id>
            <entry>
            <id>https://links.biapy.com/links/772</id>
            <title type="text"><![CDATA[pgmoneta]]></title>
            <link rel="alternate" href="https://pgmoneta.github.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/772"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[pgmoneta is a backup / restore solution for PostgreSQL.

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

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

Related contents:

- [Anatomy Of A SQL Engine @ DoltHub](https://www.dolthub.com/blog/2025-04-25-sql-engine-anatomy/).]]>
            </summary>
            <updated>2025-08-28T18:06:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/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/5187</id>
            <title type="text"><![CDATA[Datomic]]></title>
            <link rel="alternate" href="https://www.datomic.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5187"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fully transactional, cloud-ready, distributed database.

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

[Datomic @ GitHub](https://github.com/Datomic)]]>
            </summary>
            <updated>2025-08-29T06:21:33+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5505</id>
            <title type="text"><![CDATA[ClickHouse]]></title>
            <link rel="alternate" href="https://clickhouse.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5505"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast Open-Source OLAP DBMS.

ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.

- [ClickHouse @ GitHub](https://github.com/ClickHouse/ClickHouse).

Related contents:

- [Altinity Kubernetes Operator for ClickHouse @ GitHub](https://github.com/Altinity/clickhouse-operator).
- [ClickHouse on Kubernetes @ Sr. Data Engineer](https://blog.duyet.net/2024/03/clickhouse-on-kubernetes/).
- [Inside ClickHouse full-text search: fast, native, and columnar @ ClickHouse](https://clickhouse.com/blog/clickhouse-full-text-search).
- [How we made ClickHouse log queries 99.5% faster with resource fingerprinting @ SigNoz](https://signoz.io/blog/query-performance-improvement/).
- [From Millions to Billions @ geocodio](https://www.geocod.io/code-and-coordinates/2025-10-02-from-millions-to-billions/).
- [The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse @ Big Data Boutique](https://bigdataboutique.com/blog/kfc-architecture-blueprint-kafka-flink-and-clickhouse).
- [How we give every user SQL access to a shared ClickHouse cluster @ Trigger.dev](https://trigger.dev/blog/how-trql-works).]]>
            </summary>
            <updated>2026-03-23T14:51:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6652</id>
            <title type="text"><![CDATA[Neo4j]]></title>
            <link rel="alternate" href="https://neo4j.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6652"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Graph Database Management System.
Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale.
With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.

- [Neo4j @ GitHub](https://github.com/neo4j/neo4j).
 
Related contents:

- [Episode #18: NoSQL Smackdown! @ Changelog Interviews](https://changelog.com/podcast/18).]]>
            </summary>
            <updated>2025-12-09T09:25:32+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6704</id>
            <title type="text"><![CDATA[ClickHouse]]></title>
            <link rel="alternate" href="https://github.com/ClickHouse/ClickHouse" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6704"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[ClickHouse® is a free analytics DBMS for big data.
ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.]]>
            </summary>
            <updated>2025-08-29T10:34:46+00:00</updated>
        </entry>
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