Apache HugeGraph
6.6#14 in graph databasesFree planFree planWebAPILinuxmacOS
VisitApache HugeGraph vs ArcadeDB
What both publish
| Fact | Apache HugeGraph | ArcadeDB |
|---|---|---|
| Community support | The project points users to its Apache Slack channel for community discussions and welcomes contributions through GitHub pull requests. | The free Community plan lists community forums, GitHub Issues, public documentation, and tutorials. |
| Deployment | The documentation describes standalone deployments up to 2 TB and distributed deployments up to 1 PB. | ArcadeDB can run embedded in Java applications or as a standalone server and can be installed using Docker, a GitHub binary, Maven, or Kubernetes. |
| License | The HugeGraph-AI documentation identifies Apache License 2.0. | ArcadeDB is distributed under the Apache License 2.0 and the maker states that all features remain under that license. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | ArcadeDB is an open-source multi-model database that stores graph, document, key-value, full-text search, vector, and time-series data in one engine. |
| 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 describes a persistent write-ahead journal and automatic rollback of uncommitted transactions after a server crash. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | Paid support subscriptions include guaranteed response-time SLAs, with response targets and coverage varying by plan. |
Apache HugeGraph plans
- Apache HugeGraph (open source)Free
ArcadeDB plans
- CommunityFree
- Silver$299 a month
- Gold$599 a month
- Platinum$1,499 a month
- Studio AI Assistant$19.99 a month
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 ArcadeDB if…
It suits developers who need several data models in one database or need graph, document, vector, and time-series capabilities together. Teams wanting support with stated response targets can consider the paid subscriptions.