Apache HugeGraph vs TypeDB
Apache HugeGraph
hugegraph.apache.org
TypeDB
typedb.comSide by side
| Figure | Apache HugeGraph | TypeDB |
|---|---|---|
| Price from | Free | $0.07/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Graph Databases | 8.7 (#5) | 7.9 (#16) |
| Deployment | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. | TypeDB Enterprise can be deployed on-premises or in the customer’s cloud. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | TypeDB describes itself as a structured hypergraph database with first-class n-ary relations and an enforced schema. |
| 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 pricing page lists user authentication and TLS in-flight encryption in its edition comparison. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | Enterprise includes dedicated 24/7 support with P1 escalation and a listed two-hour response-time SLA. |
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.
TypeDB
TypeDB is a structured hypergraph database with an enforced, schema-first model: reads and writes are validated against the schema. Its TypeQL query language is declarative, functional, and strongly typed. Relations can link any number of entities or attributes, and can link to other relations. TypeDB is presented for agentic systems, cyber threat intelligence, knowledge graphs, financial intelligence, and robotics; it also lists vector search and ACID transactions. Platforms include API, Linux, macOS, self-hosted, web, and Windows. Official drivers are listed for Python, TypeScript HTTP, Rust, Java, C, and C#, with C++ marked as planned. The free Explore plan costs nothing and includes a fully managed dedicated database server with 10 GB storage, 8 GB RAM, and 2 vCPUs. Launch costs $0.07 a month, billed from $0.07 per hour. Enterprise has custom pricing and supports on-premises or customer-cloud deployment, including air-gapped environments.