A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)

Clone this repo:
  1. 8f4e95d build(deps): bump postgresql in /hugegraph-postgresql (#1960) by dependabot[bot] · 5 days ago master
  2. 51d29ac feat(core): cluster role automatic management (#1943) by zyxxoo · 3 weeks ago
  3. 4c8069d chore: upgrade CodeQL version to v2 (#1958) by DamonXue(Fibonacci) · 4 weeks ago
  4. 5172f77 fix: args count of ACTION_CLEARED error (#1941) by Simon Cheung · 7 weeks ago
  5. 7274a5f fix possible extra comma before where statement (#1924) by Jermy Li · 3 months ago

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HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin(a powerful graph traversal language).

Features

  • Compliance to Apache TinkerPop 3, supporting Gremlin
  • Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel
  • Multi-type Indexes, supporting exact query, range query and complex conditions combination query
  • Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed
  • Integration with Hadoop/Spark

Getting Started

The project homepage contains more information on HugeGraph and provides links to documentation, getting-started guides and release downloads.

And here are links of other repositories:

  1. hugegraph-toolchain (include loader/dashboard/tool/client)
  2. hugegraph-computer (graph computing system)
  3. hugegraph-commons (include common & rpc module)
  4. hugegraph-website (include doc & website code)

Contributing

Welcome to contribute to HugeGraph, please see How to Contribute for more information.

License

HugeGraph is licensed under Apache 2.0 License.

Thanks

HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. Thanks to TinkerPop, thanks to Titan, thanks to DataStax. Thanks to all other organizations or authors who contributed to the project.

You are welcome to contribute to HugeGraph, and we are looking forward to working with you to build an excellent open source community.