
ArcadeDB
8.3#1 in graph databasesFrom $19.99 a monthFree planWebAPILinuxmacOS
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| Fact | ArcadeDB | Sparksee |
|---|---|---|
| Deployment | ArcadeDB can run embedded in Java applications or as a standalone server and can be installed using Docker, a GitHub binary, Maven, or Kubernetes. | Sparksee runs from an application process against a database file, with no cluster or query server to provision. |
| Documentation depth | The documentation includes fundamentals, SQL, graph queries, vector/RAG, migration courses, API references and operations guides. | Sparsity publishes a starting guide, complete user manual, high-availability material and language-specific reference guides in PDF and browsable HTML. |
| Headquarters | London, United Kingdom | Barcelona, Spain |
| Product | 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. | Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities. |
| Rating on G2 | 5.0 out of 5 from 1 review | 0.0 out of 5 from 1 review |
| Security | The maker describes a persistent write-ahead journal and automatic rollback of uncommitted transactions after a server crash. | The product page says Sparksee offers disk-level encryption to protect data if a device is stolen, lost, or sold. |
| Support | Paid support subscriptions include guaranteed response-time SLAs, with response targets and coverage varying by plan. | 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. |
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.
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.