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    <title>graph-database</title>
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    <updated>2026-06-14T21:51:24+00:00</updated>
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            <entry>
            <id>https://links.biapy.com/links/12893</id>
            <title type="text"><![CDATA[pgGraph]]></title>
            <link rel="alternate" href="https://github.com/Evokoa/pgGraph" />
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            <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/11885</id>
            <title type="text"><![CDATA[HugeGraph]]></title>
            <link rel="alternate" href="https://hugegraph.apache.org/" />
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            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[HugeGraph is a full-stack graph database system
 A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine &amp;amp; REST-API &amp;amp; Backends).

providing complete graph data processing capabilities from storage, real-time querying to offline analysis, supporting both Gremlin and Cypher query languages.

- [HugeGraph @ GitHub](https://github.com/apache/hugegraph).

Related contents:

- [The Apache Software Foundation Announces New Top-Level Project @ The ASF](https://news.apache.org/foundation/entry/the-apache-software-foundation-announces-new-top-level-project-3).]]>
            </summary>
            <updated>2026-02-20T13:28:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11648</id>
            <title type="text"><![CDATA[Memgraph]]></title>
            <link rel="alternate" href="https://memgraph.com/" />
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            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own. 

Fastest, Most Affordable Graph Database.
Light &amp;amp; Powerful. Tuned for Dynamic Analytics Environments. Easy to Adopt, Scale and Own.
Now with Vector Search.

Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you&amp;#039;re a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

- [Memgraph @ GitHub](https://github.com/memgraph/memgraph).]]>
            </summary>
            <updated>2026-01-30T10:38:17+00:00</updated>
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