AgensGraph vs Apache HugeGraph
AgensGraph
skaiworldwide.com
Apache HugeGraph
hugegraph.apache.orgSide by side
| Figure | AgensGraph | Apache HugeGraph |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| 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 | 7.7 (#19) | 8.7 (#5) |
| Deployment | The maker documents Linux and Windows installation, while its current download page lists the Community Edition for Linux x86-64, Docker, and source code. | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. |
| Integrations | The maker lists PostgreSQL, standard SQL, JDBC, ODBC, Apache AGE, heterogeneous databases, and BI tools among the technologies it connects with. | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. |
| Product | AgensGraph is a hybrid relational and graph database that handles structured data and relationships in one engine. | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. |
| Support | The maker says its Korea-based engineers provide direct support and that PGTS maintenance provides deployment and operations SLAs. | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. |
Plans
In their own words
AgensGraph
AgensGraph has no write-up on Specifiction yet; its figures are above.
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.