Apache HugeGraph vs FalkorDB
Apache HugeGraph
hugegraph.apache.org
FalkorDB
falkordb.comSide by side
| Figure | Apache HugeGraph | FalkorDB |
|---|---|---|
| Price from | Free | $73/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Graph Databases | 8.7 (#5) | 9.1 (#2) |
| Deployment | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. | FalkorDB can be launched locally using Docker or used as a fully managed cloud instance. |
| Integrations | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. | Official materials list Graphiti, LangChain, LlamaIndex, Cognee, g.v(), OpenAI, Gemini, Google Cloud, Azure, Grafana, Docker, Snowflake and Model Context Protocol integrations or ecosystem connections. |
| License | The HugeGraph-AI documentation identifies Apache License 2.0. | The documentation states FalkorDB is licensed under Server Side Public License v1 (SSPLv1). |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | FalkorDB is a high-performance graph database for managing complex relationships and supporting AI applications. |
| 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 Trust Center says customer data is encrypted at rest and in transit, with encryption keys rotated annually. |
| Storage | The Server supports RocksDB as its default standalone backend, HStore for distributed storage, and HBase. | FalkorDB stores graphs as sparse adjacency matrices for compact storage and fast traversal. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | The documentation directs users to Discord and a forum for questions, ideas, and reports. |
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.