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<h1 align="center">
<img width="720" alt="hugegraph-logo" src="https://github.com/apache/hugegraph/assets/38098239/e02ffaed-4562-486b-ba8f-e68d02bb0ea6" style="zoom:100%;" />
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<h3 align="center">A graph database that supports more than 10 billion vertices & edges, high performance and scalability</h3>
<div align="center">
[![License](https://img.shields.io/badge/license-Apache%202-0E78BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
[![HugeGraph-CI](https://github.com/apache/incubator-hugegraph/actions/workflows/ci.yml/badge.svg)](https://github.com/apache/incubator-hugegraph/actions/workflows/ci.yml)
[![License checker](https://github.com/apache/incubator-hugegraph/actions/workflows/licence-checker.yml/badge.svg)](https://github.com/apache/incubator-hugegraph/actions/workflows/licence-checker.yml)
[![GitHub Releases Downloads](https://img.shields.io/github/downloads/apache/hugegraph/total.svg)](https://github.com/apache/hugegraph/releases)
</div>
## What is Apache HugeGraph?
[HugeGraph](https://hugegraph.apache.org/) is a fast and highly-scalable [graph database](https://en.wikipedia.org/wiki/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](https://tinkerpop.apache.org/) framework allowing complicated graph queries to be
achieved through the powerful [Gremlin](https://tinkerpop.apache.org/gremlin.html) graph traversal language.
## Features
- Compliant to [Apache TinkerPop 3](https://tinkerpop.apache.org/), supports [Gremlin](https://tinkerpop.apache.org/gremlin.html) & [Cypher](https://en.wikipedia.org/wiki/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 Driver Framework, support `RocksDB`/`HStore`, `HBase`, `Cassandra/ScyllaDB`, and `MySQL/Postgre` now and easy to add another backend store driver if needed
- Integration with `Flink/Spark/HDFS`, and friendly to connect other big data platforms
## Quick Start
### 1. Docker (For Test)
Use Docker to quickly start a HugeGraph server with `RocksDB` (in the background) for **testing or development**:
```
# (Optional)
# 1. add "-e PASSWORD=xxx" to enable the auth system
# 2. add "-e PRELOAD="true" to auto-load a sample graph
docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0
```
Please visit [doc page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#3-deploy) or
the [README](hugegraph-server/hugegraph-dist/docker/README.md) for more details. ([Docker Compose](./hugegraph-server/hugegraph-dist/docker/example))
> 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](https://infra.apache.org/release-distribution.html#dockerhub).
> 2. Recommend to use `release tag` (like `1.5.0`/`1.x.0`) for the stable version. Use `latest` tag to experience the newest functions in development.
### 2. Download
Visit [Download Page](https://hugegraph.apache.org/docs/download/download/) and refer the [doc](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#32-download-the-binary-tar-tarball)
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, must enable the [AuthSystem](https://hugegraph.apache.org/docs/config/config-authentication/) to ensure safe.
### 3. Build From Source
Visit [Build From Source Page](https://hugegraph.apache.org/docs/quickstart/hugegraph-server/#33-source-code-compilation) and follow the
steps to build the source code and start the server.
The project [doc page](https://hugegraph.apache.org/docs/) contains more information on HugeGraph
and provides detailed documentation for users. (Structure / Usage / API / Configs...)
And here are links of other **HugeGraph** component/repositories:
1. [hugegraph-toolchain](https://github.com/apache/hugegraph-toolchain) (graph tools **[loader](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-loader)/[dashboard](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-hubble)/[tool](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-tools)/[client](https://github.com/apache/hugegraph-toolchain/tree/master/hugegraph-client)**)
2. [hugegraph-computer](https://github.com/apache/hugegraph-computer) (integrated **graph computing** system)
3. [hugegraph-ai](https://github.com/apache/incubator-hugegraph-ai) (integrated **Graph AI/LLM/KG** system)
4. [hugegraph-website](https://github.com/apache/hugegraph-doc) (**doc & website** code)
## License
HugeGraph is licensed under [Apache 2.0 License](LICENSE).
## Contributing
- Welcome to contribute to HugeGraph, please see [`How to Contribute`](CONTRIBUTING.md) & [Guidelines](https://hugegraph.apache.org/docs/contribution-guidelines/) for more information.
- Note: It's recommended to use [GitHub Desktop](https://desktop.github.com/) to greatly simplify the PR and commit process.
- Thank you to all the people who already contributed to HugeGraph!
[![contributors graph](https://contrib.rocks/image?repo=apache/hugegraph)](https://github.com/apache/incubator-hugegraph/graphs/contributors)
## Thanks
HugeGraph relies on the [TinkerPop](http://tinkerpop.apache.org) 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.
## Contact Us
- [GitHub Issues](https://github.com/apache/hugegraph/issues): Feedback on usage issues and functional requirements (quick response)
- Feedback Email: [dev@hugegraph.apache.org](mailto:dev@hugegraph.apache.org) ([subscriber](https://hugegraph.apache.org/docs/contribution-guidelines/subscribe/) only)
- WeChat public account: Apache HugeGraph, welcome to scan this QR code to follow us.
<img src="https://github.com/apache/hugegraph-doc/blob/master/assets/images/wechat.png?raw=true" alt="QR png" width="300"/>