Sparksee
7.6#4 in graph databasesFree planFree planAndroidiOSAPILinux
VisitSparksee vs TerminusDB
TerminusDB
6.2#21 in graph databasesFree planFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | Sparksee | TerminusDB |
|---|---|---|
| Deployment | Sparksee runs from an application process against a database file, with no cluster or query server to provision. | The quickstart runs TerminusDB in Docker, and the documentation also describes building from source on Linux or macOS and running it on Kubernetes. |
| Product | Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities. | TerminusDB is an open-source document graph database that stores JSON documents in a schema-enforced graph and includes Git-like version control. |
| Security | The product page says Sparksee offers disk-level encryption to protect data if a device is stolen, lost, or sold. | TerminusDB provides role-based access control using users, roles, capabilities, and resource scopes. |
| Support | 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. | The official site directs users to the TerminusDB community on Discord and to GitHub for other ways to connect. |
Sparksee plans
- Academic licenceFree
- Free trial—
- IndustryPriced on request
- StartupPriced on request
TerminusDB plans
- TerminusDB Open Source Community VersionFree
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.
Pick TerminusDB if…
It suits developers and data engineers working with auditable data lineage, complex domain models, collaborative data workflows, or structured content that changes over time. Teams focused on relational analytics, mature ORMs, or a very large extensions ecosystem may find PostgreSQL better suited to those needs.