Apache HugeGraph vs InfiniteGraph
Apache HugeGraph
hugegraph.apache.orgInfiniteGraph
objectivity.comSide by side
| Figure | Apache HugeGraph | InfiniteGraph |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Graph Databases | 8.7 (#5) | 7.7 (#21) |
| Deployment | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. | InfiniteGraph is available for on-premise use and can be deployed in any cloud environment. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | InfiniteGraph is a graph database and graph analytics platform. |
| Queries | The system supports Gremlin and Cypher query languages and provides a REST API. | It supports deep link analysis, complex graph queries, and relational data queries. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | A 2010 release says developer licenses starting at $999 per year included support. |
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.
InfiniteGraph
InfiniteGraph has no write-up on Specifiction yet; its figures are above.