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 achieved through Gremlin(a powerful graph traversal language).
RocksDB
/HStore
, HBase
, Cassandra/ScyllaDB
, and MySQL/Postgre
now and easy to add another backend store driver if neededFlink/Spark/HDFS
, and friendly to connect other big data platformsWe can use docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph
to quickly start an inner HugeGraph server with RocksDB
(in backgrounds) for test/dev. You can visit doc page or the README for more details. (Docker Compose)
Note:
The docker image of hugegraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
Recommend to use
release tag
(like1.5.0
) for the stable version. Uselatest
tag to experience the newest functions in development.
Visit Download Page and refer the doc to download the latest release package and start the server.
Visit Source Building Page and follow the steps to build the source code and start the server.
The project doc page contains more information on HugeGraph and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other HugeGraph component/repositories:
HugeGraph is licensed under Apache 2.0 License.
How to Contribute
& Guidelines for more information.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.