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Apache HugeGraph
What it is
Apache HugeGraph is an open-source graph system covering graph database, graph computing, and graph AI. It supports Gremlin and Cypher/OpenCypher queries, a REST API, ACID transactions, graph algorithms, and vector search. HugeGraph-AI provides Python clients, graph machine-learning tools, and LLM tools for knowledge graph construction and GraphRAG applications. The Server supports RocksDB as its default standalone backend, HStore for distributed storage, and HBase. The project documents integrations with Spark and SeaTunnel and compatibility with Hadoop and Flink. Its toolchain covers graph loading, visualization, backup, restore, and migration, while Hubble provides a web interface for graph visualization and management. Documentation describes standalone deployments up to 2 TB and distributed deployments up to 1 PB. The project says it supports high-speed imports and millisecond-level real-time queries for up to hundreds of billions of graph data. It runs on Linux and macOS and can be self-hosted. Java 11 is recommended for downloads and required from version 1.5.0 onward. Authentication is disabled by default, so the project advises enabling authentication and authorization, maintaining an IP allowlist, and restricting public access to query endpoints.
For and against
For
- Open-source and self-hosted
- Gremlin and Cypher/OpenCypher support
- Includes graph algorithms and vector search
- Graph loading, backup, restore, and migration tools
- Graph AI tools include GraphRAG
Against
- Authentication is disabled by default
- Java 11 is required from version 1.5.0
- Project lists known CVEs for Server and Hubble
The verdict
Apache HugeGraph covers graph storage, computation, AI tooling, and visualization in an open-source project. A deployment requires attention to Java requirements and security configuration, particularly because authentication is off by default.
Who it suits
HugeGraph suits developers and organizations building graph database, graph computing, or graph AI systems that can be self-hosted. It is relevant to teams comfortable configuring Java and securing their own deployment.
Plans and prices
Apache HugeGraph (open source)
Self-hosted graph database and related components
Read 7 Oct 2026 · hugegraph.apache.org
On the record
- Access control
- HugeGraph supports multi-user authentication and fine-grained access control, including dynamically assigning or revoking permissions.hugegraph.apache.org · read 7 Oct 2026
- AI features
- HugeGraph-AI provides Python clients, graph machine learning tools, and LLM tools for knowledge graph construction and GraphRAG applications.hugegraph.apache.org · read 7 Oct 2026
- Community support
- The project points users to its Apache Slack channel for community discussions and welcomes contributions through GitHub pull requests.hugegraph.apache.org · read 7 Oct 2026
- Deployment
- The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool.hugegraph.apache.org · read 7 Oct 2026
- Graph AI
- HugeGraph-AI provides GraphRAG, graph machine learning, and a Python client.hugegraph.apache.org · read 7 Oct 2026
- Integrations
- The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink.hugegraph.apache.org · read 7 Oct 2026
- License
- The HugeGraph-AI documentation identifies Apache License 2.0.hugegraph.apache.org · read 7 Oct 2026
- Product
- Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI.hugegraph.apache.org · read 7 Oct 2026
- Project status
- Apache HugeGraph describes itself as an Apache top-level project built in the open.hugegraph.apache.org · read 7 Oct 2026
- Queries
- The system supports Gremlin and Cypher query languages and provides a REST API.hugegraph.apache.org · read 7 Oct 2026
- Runtime requirement
- The download page recommends Java 11 and says Java 11 is required starting with version 1.5.0.hugegraph.apache.org · read 7 Oct 2026
- Scale
- The project says it supports high-speed import and millisecond-level real-time queries for up to hundreds of billions of graph data.hugegraph.apache.org · read 7 Oct 2026
- Security
- User authentication is disabled by default; the project advises enabling authentication and authorization, maintaining an IP allowlist, and avoiding direct public exposure of query endpoints in production.hugegraph.apache.org · read 7 Oct 2026
- Security advisories
- The security page lists known CVEs for HugeGraph Server and Hubble and provides a private channel for reporting security issues.hugegraph.apache.org · read 7 Oct 2026
- Security configuration
- Authentication is disabled by default; the security guide recommends enabling authentication and authorization, maintaining an IP allowlist, and restricting public access to query endpoints.hugegraph.apache.org · read 7 Oct 2026
- Security reporting
- The project asks users to report security issues privately to its dedicated security mailing list first.hugegraph.apache.org · read 7 Oct 2026
- Storage
- The Server supports RocksDB as its default standalone backend, HStore for distributed storage, and HBase.hugegraph.apache.org · read 7 Oct 2026
- Support
- The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel.hugegraph.apache.org · read 7 Oct 2026
