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+++ title = "HugeGraph Website" linkTitle = "Huge Docs" +++ {{< blocks/cover image_anchor="top" height="full" color="orange">}} <div class="mx-auto"> <h1 ><span style="font-size:50px;font-weight:bold">Apache</span> <span style="font-size:50px;font-weight:bold">HugeGraph</span> </h1> <p><span style="font-size:20px; float:contour">&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;Incubating</span><br/></p> <a class="btn btn-lg btn-primary mr-3 mb-4" href="{{< relref "/docs" >}}"> Learn More <i class="fas fa-arrow-alt-circle-right ml-2"></i> </a> <a class="btn btn-lg btn-secondary mr-3 mb-4" href="./docs/download/download/"> Download <i class="fab fa-github ml-2 "></i> </a> <p class="lead mt-5">HugeGraph is a convenient, efficient, and adaptable graph database</p> <p>compatible with the Apache TinkerPop3 framework and the Gremlin query language.</p> {{< blocks/link-down color="info" >}} </div> {{< /blocks/cover >}} {{% blocks/lead color="primary" %}} <p>HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges</p> <p> Graph, millisecond-level OLTP query capability, and large-scale distributed</p> <p> graph processing (OLAP). The main scenarios of HugeGraph include</p> <p> correlation search, fraud detection, and knowledge graph.</p> {{% /blocks/lead %}} {{< blocks/section color="dark" >}} {{% blocks/feature icon="fa-lightbulb" title="Convenient" %}} Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. <!-- Please follow us for updates! --> {{% /blocks/feature %}} {{% blocks/feature icon="fa-shipping-fast" title="Efficient" %}} Has been deeply optimized in graph storage and graph computation. It provides multiple batch import tools that can easily complete the fast-import of tens of billions of data, achieves millisecond-level response for graph retrieval through ameliorated queries, and supports concurrent online and real-time operations for thousands of users. {{% /blocks/feature %}} {{% blocks/feature icon="fa-exchange-alt" title="Adaptable" %}} Adapts to the Apache Gremlin standard graph query language and the Property Graph standard modeling method, and both support graph-based OLTP and OLAP schemes. Furthermore, HugeGraph can be integrated with Hadoop and Spark's big data platforms, and easily extend the back-end storage engine through plug-ins. {{% /blocks/feature %}} {{< /blocks/section >}} {{< blocks/section color="blue-deep">}} <div class="col"> <h1 class="text-center">The first graph database project in Apache</h1> </div> {{< /blocks/section >}} {{< blocks/section >}} {{% blocks/feature icon="far fa-tools" title="Get The **Toolchain**" %}} [It](https://github.com/apache/incubator-hugegraph-toolchain) includes graph loader & dashboard & backup tools {{% /blocks/feature %}} {{% blocks/feature icon="fab fa-github" title="Efficient" url="https://github.com/apache/incubator-hugegraph" %}} We do a [Pull Request](https://github.com/apache/incubator-hugegraph/pulls) contributions workflow on **GitHub**. New users are always welcome! {{% /blocks/feature %}} {{% blocks/feature icon="fab fa-weixin" title="Follow us on Wechat!" url="https://twitter.com/apache-hugegraph" %}} Follow the official account "HugeGraph" to get the latest news PS: twitter account it's on the way {{% /blocks/feature %}} {{< /blocks/section >}} {{< blocks/section color="blue-light">}} <div class="col-12"> <h1 class="text-center">Welcome to the HugeGraph open source community!</h1> </div> {{< /blocks/section >}}