Apache HugeGraph
Apache HugeGraph is an open-source system for graph databases, graph computing, and graph AI.
What Apache HugeGraph is
Apache HugeGraph is an open-source system for graph databases, graph computing, and graph AI. It supports Gremlin and Cypher/OpenCypher queries, a REST API, ACID transactions, graph algorithms, and vector search. HugeGraph-AI adds Python clients, graph machine-learning tools, and LLM tools for knowledge-graph construction and GraphRAG applications. The Server supports RocksDB for standalone storage, HStore for distributed storage, and HBase. The project documents integration with Spark and SeaTunnel, plus compatibility with Hadoop and Flink. Its toolchain covers graph loading, visualization, backup, restore, and migration; Hubble provides a web interface for visualization and management. Deployment documentation describes standalone setups up to 2 TB and distributed setups up to 1 PB. The project also describes high-speed imports and millisecond-level real-time queries for graph data at a scale of hundreds of billions. It can be self-hosted on Linux or macOS, and its open-source plan costs nothing. Java 11 is recommended for downloads and required from version 1.5.0. Authentication is disabled by default, so production deployments need careful access configuration.
Good
- Supports Gremlin and Cypher/OpenCypher queries.
- Includes graph algorithms, ACID transactions, and vector search.
- HugeGraph-AI offers Python and LLM tools.
- Hubble provides web-based graph visualization and management.
- Open-source plan costs nothing.
Watch out
- Authentication is disabled by default.
- Java 11 is required from version 1.5.0 onward.
- Security page lists known CVEs for Server and Hubble.
Who it suits
Apache HugeGraph may suit teams building graph database, graph computing, or graph AI systems that can manage self-hosted infrastructure. It is also relevant to developers using its documented query languages, APIs, and ecosystem integrations.
Verdict
Apache HugeGraph provides database, computing, and AI components for graph workloads, with multiple storage options and integrations. Teams should configure authentication and restrict query endpoint exposure before production use.
Plans and prices
From Apache HugeGraph's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Apache HugeGraph (open source) | Free | Self-hosted graph database and related components |
The facts
Each one read from Apache HugeGraph's own pages, with the date it was checked.
What it does
- Access control
- HugeGraph supports multi-user authentication and fine-grained access control, including dynamically assigning or revoking permissions.checked 7 Oct 2026
- AI features
- HugeGraph-AI provides Python clients, graph machine learning tools, and LLM tools for knowledge graph construction and GraphRAG applications.checked 7 Oct 2026
- Community support
- The project points users to its Apache Slack channel for community discussions and welcomes contributions through GitHub pull requests.checked 7 Oct 2026
- Deployment
- The documentation describes standalone deployments up to 2 TB and distributed deployments up to 1 PB.checked 7 Oct 2026
- Graph AI
- HugeGraph-AI provides GraphRAG, graph machine learning, and a Python client.checked 7 Oct 2026
- Integrations
- The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink.checked 7 Oct 2026
- License
- The HugeGraph-AI documentation identifies Apache License 2.0.checked 7 Oct 2026
- Product
- Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI.checked 7 Oct 2026
- Project status
- Apache HugeGraph describes itself as an Apache top-level project built in the open.checked 7 Oct 2026
- Queries
- The system supports Gremlin and Cypher query languages and provides a REST API.checked 7 Oct 2026
- Runtime requirement
- The download page recommends Java 11 and says Java 11 is required starting with version 1.5.0.checked 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.checked 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.checked 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.checked 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.checked 7 Oct 2026
- Security reporting
- The project asks users to report security issues privately to its dedicated security mailing list first.checked 7 Oct 2026
- Storage
- The Server supports RocksDB as its default standalone backend, HStore for distributed storage, and HBase.checked 7 Oct 2026
- Support
- The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel.checked 7 Oct 2026
- Toolchain
- The HugeGraph toolchain includes graph loading, visualization, backup, restore, and migration tools.checked 7 Oct 2026
- Visualization
- HugeGraph Toolchain includes Hubble, a web UI for graph visualization and management.checked 7 Oct 2026
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