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Sparksee vs TuringDB

Sparksee logo

Sparksee

7.6#4 in graph databasesFree plan
Free planAndroidiOSAPILinux
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TuringDB

6.7#13 in graph databasesFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactSparkseeTuringDB
DeploymentSparksee runs from an application process against a database file, with no cluster or query server to provision.TuringDB can be self-hosted as a server, deployed on-premise or air-gapped, or embedded and driven from Python.
HeadquartersBarcelona, SpainThe maker lists Turing Biosystems Ltd. in London and Lyon.
ProductSparksee is an embeddable graph database management system for representing and analysing complex relationships between entities.TuringDB is an in-memory, columnar graph database with Git-style versioning built into its engine.
SupportTrial 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 Enterprise plan includes dedicated support and integrations.

Sparksee plans

  • Academic licenceFree
  • Free trial—
  • IndustryPriced on request
  • StartupPriced on request

TuringDB plans

  • CommunityFree
  • EnterprisePriced on request
  • CustomPriced on request

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 TuringDB if…

TuringDB may suit developers and organizations working with connected data, including the industries its maker highlights. Its deployment options include self-hosting, on-premise and air-gapped use, or embedding through Python.

Charts they share