Apache HugeGraph
6.6#14 in graph databasesFree planFree planWebAPILinuxmacOS
VisitApache HugeGraph vs Sparksee
What both publish
| Fact | Apache HugeGraph | Sparksee |
|---|---|---|
| Deployment | The documentation describes standalone deployments up to 2 TB and distributed deployments up to 1 PB. | Sparksee runs from an application process against a database file, with no cluster or query server to provision. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities. |
| 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 product page says Sparksee offers disk-level encryption to protect data if a device is stolen, lost, or sold. |
| Support | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. | Trial applicants receive a build, sample project and access to an engineer for modelling questions; technical support is provided through the documentation and support sections. |
Apache HugeGraph plans
- Apache HugeGraph (open source)Free
Sparksee plans
- Academic licenceFree
- Free trial—
- IndustryPriced on request
- StartupPriced 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 Sparksee if…
Sparksee suits developers building graph-powered mobile, embedded, or self-hosted applications who want graph algorithms and local database storage. Academic users may qualify for a free licence, while commercial buyers need to request deployment-specific terms.