Apache HugeGraph vs TerminusDB
Apache HugeGraph
hugegraph.apache.orgTerminusDB
terminusdb.orgSide by side
| Figure | Apache HugeGraph | TerminusDB |
|---|---|---|
| Price from | Free | Free |
| 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 | 1 |
| Spec score · Graph Databases | 8.7 (#5) | 7.4 (#26) |
| Deployment | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. | The quickstart runs TerminusDB in Docker, and the documentation also describes building from source on Linux or macOS and running it on Kubernetes. |
| Integrations | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. | Its GraphQL interface works with Apollo, urql, Relay, and other GraphQL clients; official client libraries are available for TypeScript/JavaScript and Python, with Rust also documented. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | TerminusDB is an open-source document graph database that stores JSON documents in a schema-enforced graph and includes Git-like version control. |
| 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. | TerminusDB provides role-based access control using users, roles, capabilities, and resource scopes. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | The official site directs users to the TerminusDB community on Discord and to GitHub for other ways to connect. |
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.
TerminusDB
TerminusDB is a free, open-source document graph database for JSON documents stored in a schema-enforced graph. It adds Git-like version control for data, including branching, diffing, merging, cloning, synchronization, and time travel. Commits are ACID transactions, and every write receives schema validation. Developers can use the HTTP document API, GraphQL, or WOQL, a Datalog-based query language. GraphQL works with Apollo, urql, Relay, and other clients; official libraries cover TypeScript/JavaScript and Python, with Rust documented. Role-based access control uses users, roles, capabilities, and resource scopes. Deployment documentation covers Docker, Linux or macOS source builds, and Kubernetes. DFRNT provides cloud hosting instances, while community support is available through Discord and GitHub. TerminusDB supports ontology modeling, semantic reasoning, graph visualization, and imports from CSV, JSON, JSON-LD, RDF/XML, and Turtle. It does not support RDF/SPARQL.