Apache HugeGraph vs CognoDB
Apache HugeGraph
hugegraph.apache.org
CognoDB
cognodb.comSide by side
| Figure | Apache HugeGraph | CognoDB |
|---|---|---|
| Price from | Free | $9/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Graph Databases | 8.7 (#5) | 8.2 (#10) |
| Deployment | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. | CognoDB is offered as a managed cloud service, and the maker says there is no self-hosted distribution to install or operate. |
| Integrations | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. | The import flow supports Amazon S3, Google Cloud Storage, Azure Blob Storage, BigQuery, Snowflake, PostgreSQL, Apache Kafka, Apache Spark, Delta Lake, Apache Iceberg, CSV and Parquet. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | CognoDB is a fully managed graph database for nodes, relationships and millisecond traversals over Bolt and Cypher. |
| 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 maker says client connections and storage snapshots are encrypted, instance passwords and API keys are stored as hashes, and organizations are isolated with default-deny networking. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | Enterprise offers dedicated support, while the pricing page lists custom terms and priority support among its features. |
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.