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LadybugDB vs Sparksee

LadybugDB

7.4#6 in graph databasesFree plan
Free planAndroidiOSWebAPI
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Sparksee logo

Sparksee

7.6#4 in graph databasesFree plan
Free planAndroidiOSAPILinux
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What both publish

FactLadybugDBSparksee
DeploymentLadybug runs embedded in an application process and does not require managing a separate database server.Sparksee runs from an application process against a database file, with no cluster or query server to provision.
PlatformsThe CLI and C/C++ APIs have precompiled binaries for macOS, Linux, and Windows; Swift also supports iOS, and Java supports Android ARMv8-A.The trial request form lists Android, iOS, Linux, Mac, Windows Desktop, and Windows Store as operating-system choices.
ProductLadybug is an embedded graph database optimized for complex analytical workloads on very large graphs.Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities.
SupportThe site lists community support and says commercial enterprise support contracts are available.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.

LadybugDB plans

  • MIT open-source licenseFree

Sparksee plans

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

Pick LadybugDB if…

LadybugDB may suit developers building graph-based analytical or agentic applications who want Cypher and a choice of client APIs. Its in-memory mode is relevant when data need not persist after the process ends.

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.

Charts they share