Apache HugeGraph vs HyperGraphDB
Apache HugeGraph
hugegraph.apache.orgHyperGraphDB
hypergraphdb.orgSide by side
| Figure | Apache HugeGraph | HyperGraphDB |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Graph Databases | 8.7 (#5) | 7.3 (#29) |
| License | The HugeGraph-AI documentation identifies Apache License 2.0. | The project’s GitHub page identifies its license as Apache-2.0. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | HyperGraphDB is an embedded, transactional graph database based on generalized hypergraphs. |
| 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. | The opened first-party pages do not state security certifications or compliance claims. |
| Storage | The Server supports RocksDB as its default standalone backend, HStore for distributed storage, and HBase. | The paper says the implementation uses Berkeley DB as its storage system. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | The official site links to a Community page and a Questions & Answers page. |
Plans
In their own words
Apache HugeGraph
Apache HugeGraph is an open-source graph system combining a 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 adds Python clients, graph machine-learning tools, and LLM tools for knowledge-graph construction and GraphRAG applications. Storage options include RocksDB for standalone use, HStore for distributed storage, and HBase. The project documents integrations with Spark and SeaTunnel and compatibility with Hadoop and Flink. Its toolchain provides graph loading, visualization, backup, restore, and migration; Hubble is a web interface for visualization and management. Documentation covers standalone deployments up to 2 TB and distributed deployments up to 1 PB. The project describes high-speed imports and millisecond-level real-time queries for hundreds of billions of graph data. It runs on Linux and macOS and can be self-hosted. The open-source plan costs nothing. Java 11 is recommended and required from version 1.5.0.
HyperGraphDB
HyperGraphDB has no write-up on Specifiction yet; its figures are above.