<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Apache HugeGraph Introduction on Apache HugeGraph</title><link>https://hugegraph.apache.org/versions/1.7/docs/introduction/</link><description>Recent content in Apache HugeGraph Introduction on Apache HugeGraph</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 13 Jun 2025 21:28:50 +0800</lastBuildDate><atom:link href="https://hugegraph.apache.org/versions/1.7/docs/introduction/index.xml" rel="self" type="application/rss+xml"/><item><title>Introduction with HugeGraph</title><link>https://hugegraph.apache.org/versions/1.7/docs/introduction/readme/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://hugegraph.apache.org/versions/1.7/docs/introduction/readme/</guid><description>&lt;h3 id="summary"&gt;Summary&#10;&lt;/h3&gt;&#10;&lt;p&gt;Apache HugeGraph is an easy-to-use, efficient, general-purpose open-source graph database system&#10;(Graph Database, &lt;a href="https://github.com/hugegraph/hugegraph"&gt;GitHub project address&lt;/a&gt;), implementing the &lt;a href="https://tinkerpop.apache.org"&gt;Apache TinkerPop3&lt;/a&gt; framework and fully compatible with the &lt;a href="https://tinkerpop.apache.org/gremlin.html"&gt;Gremlin&lt;/a&gt; query language,&#10;With complete toolchain components, it helps users easily build applications and products based on graph databases. HugeGraph supports fast import of more than 10 billion vertices and edges, and provides millisecond-level relational query capability (OLTP).&#10;It also supports large-scale distributed graph computing (OLAP).&lt;/p&gt;</description></item></channel></rss>