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apache/hugegraph/d641fdb60672d192f1b121c20fdbf80023d6eda0
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d641fdb60672d192f1b121c20fdbf80023d6eda0
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author
Himanshu Verma <himnshuverma10152006@gmail.com>
Sun Jan 04 13:58:30 2026 +0530
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GitHub <noreply@github.com>
Sun Jan 04 16:28:30 2026 +0800
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28a1ebdae0553c0c32b203180f76af9b5c9fd886
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423ede07466a0cff73f71fb7f3c8f661be693ce6 [diff]
docs: fix Cypher documentation link in README (#2925)
1 file changed
tree: 28a1ebdae0553c0c32b203180f76af9b5c9fd886
  1. .github/
  2. .idea/
  3. .serena/
  4. docker/
  5. hugegraph-cluster-test/
  6. hugegraph-commons/
  7. hugegraph-pd/
  8. hugegraph-server/
  9. hugegraph-store/
  10. hugegraph-struct/
  11. install-dist/
  12. style/
  13. .asf.yaml
  14. .editorconfig
  15. .gitattributes
  16. .gitignore
  17. .licenserc.yaml
  18. AGENTS.md
  19. BUILDING.md
  20. CONTRIBUTING.md
  21. DISCLAIMER
  22. LICENSE
  23. NOTICE
  24. pom.xml
  25. README.md
README.md

License HugeGraph-CI License checker GitHub Releases Downloads Ask DeepWiki

What is Apache HugeGraph?

HugeGraph is a fast and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP capabilities. HugeGraph is compliant with the Apache TinkerPop 3 framework allowing complicated graph queries to be achieved through the powerful Gremlin graph traversal language.

Features

  • Compliant to Apache TinkerPop 3, supports Gremlin & Cypher language
  • 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 Framework, mainly support RocksDB/HStore + HBase for now and you could choose other backends in the legacy version ≤ 1.5.0 (like MySQL/PG/Cassandra ...)
  • Integration with Flink/Spark/HDFS, and friendly to connect other big data platforms
  • Complete graph ecosystem (including both in/out-memory Graph Computing + Graph Visualization & Tools + Graph Learning & AI, see here)

Architecture

HugeGraph supports both standalone and distributed deployments:

ModuleDescription
hugegraph-serverCore graph engine with REST API, Gremlin/Cypher support, and pluggable backends (RocksDB default)
hugegraph-pdPlacement Driver for distributed mode - handles meta storage, partition management and cluster scheduling
hugegraph-storeDistributed storage with Raft consensus for high availability and horizontal scaling
hugegraph-commonsShared utilities, RPC framework and common components
  • Standalone: HugeGraph Server + RocksDB (for all-in-one deployment)
  • Distributed: HugeGraph Server + PD + Store (Raft + RocksDB by default)

Quick Start

1. Docker (For Test)

Use Docker to quickly start a HugeGraph server with RocksDB (in the background) for testing or development:

# (Optional) 
# - add "-e PRELOAD=true" to auto-load a sample graph
docker run -itd --name=graph -e PASSWORD=xxx -p 8080:8080 hugegraph/hugegraph:1.7.0

Please visit doc page or the README for more details. (Docker Compose)

Note:

  1. The Docker image of HugeGraph is a convenience release, but not official distribution artifacts. You can find more details from ASF Release Distribution Policy.
  2. Recommend to use release tag (like 1.7.0/1.x.0) for the stable version. Use latest tag to experience the newest functions in development.

2. Download

Visit Download Page and refer the doc to download the latest release package and start the server.

Note: if you want to use it in the production environment or expose it to the public network, you must enable the AuthSystem to ensure safety.

3. Build From Source

Visit Build From Source 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...)

Ecosystem

Other HugeGraph components/repositories:

  1. hugegraph-toolchain (graph tools loader/dashboard/tool/client)
  2. hugegraph-computer (integrated graph computing system)
  3. hugegraph-ai (integrated Graph AI/LLM/KG system)
  4. hugegraph-website (doc & website code)

License

HugeGraph is licensed under Apache 2.0 License.

Contributing

  • Welcome to contribute to HugeGraph, please see How to Contribute & Guidelines for more information.
  • Note: It's recommended to use GitHub Desktop to greatly simplify the PR and commit process.
  • Thank you to all the people who already contributed to HugeGraph!

contributors graph

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.

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