Apache HugeGraph
6.6#14 in graph databasesFree planFree planWebAPILinuxmacOS
VisitApache HugeGraph vs NebulaGraph
NebulaGraph
8.1#2 in graph databasesFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Apache HugeGraph | NebulaGraph |
|---|---|---|
| Deployment | The documentation describes standalone deployments up to 2 TB and distributed deployments up to 1 PB. | The maker supports on-premises, public-cloud and hybrid deployment models. |
| Integrations | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. | Official ecosystem tools include Java, Python, C++, and Go clients plus Spark and Flink connectors. |
| License | The HugeGraph-AI documentation identifies Apache License 2.0. | The core NebulaGraph repository is licensed under Apache 2.0, allowing modification, deployment and commercial SaaS use. |
| 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. | NebulaGraph Cloud provides Private Link for private network access and role-based access control for graph-space permissions. |
Apache HugeGraph plans
- Apache HugeGraph (open source)Free
NebulaGraph plans
- Open-source EditionFree
- NebulaGraph Cloud StandardPriced on request
- NebulaGraph Cloud ProfessionalPriced on request
- Enterprise EditionPriced on request
Pick Apache HugeGraph if…
Apache HugeGraph may suit teams building graph database, graph computing, or graph AI systems that can manage self-hosted infrastructure. It is also relevant to developers using its documented query languages, APIs, and ecosystem integrations.
Pick NebulaGraph if…
NebulaGraph may suit teams working with connected data for applications such as recommendation engines, fraud detection, knowledge graphs, or network analysis. Its deployment choices also suit teams considering on-premises, cloud, or hybrid setups.