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HyperGraphDB vs Sparksee

HyperGraphDB

hypergraphdb.org

Sparksee

sparsity-technologies.com

Side by side

FigureHyperGraphDBSparksee
Price from—Free
Free plan—Yes
Free trial—Yes
Open source——
WindowsYesYes
macOS—Yes
LinuxYesYes
iOS—Yes
Android—Yes
API—Yes
Self-hostedYesYes
Plans published04
Spec score · Graph Databases7.3 (#29)8.4 (#9)
InstallationThe installation guide describes HyperGraphDB as an embedded library with no client/server communication layer.Packages are downloaded and unpacked without a general installer, except for an Objective-C MacOS framework installer; Java packages can also be obtained through Apache Maven.
ProductHyperGraphDB is an embedded, transactional graph database based on generalized hypergraphs.Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities.
SecurityThe opened first-party pages do not state security certifications or compliance claims.The product page says Sparksee offers disk-level encryption to protect data if a device is stolen, lost, or sold.
SupportThe official site links to a Community page and a Questions & Answers page.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.

Plans

HyperGraphDB

No plans published.

HyperGraphDB pricing →

Sparksee

  • Academic licenceFree
  • Free trialPrice not published
  • IndustryPriced on request
  • StartupPriced on request

Sparksee pricing →

In their own words

HyperGraphDB

HyperGraphDB has no write-up on Specifiction yet; its figures are above.

Visit hypergraphdb.org

Sparksee

Sparksee is an embeddable graph database for applications that need to represent and analyse relationships among entities. It works against a database file from within an application process, so there is no cluster or query server to provision. The maker describes its compact bitmap-based representation as suited to graph computations in mobile and embedded environments. Built-in algorithms cover traversal, shortest paths, connectivity, community detection, and PageRank. Its API supports importing and exporting graph data, scripting, and Sparksee Cypher queries; Sparksee Algebra is also listed. API references cover.NET, Java, C++, Objective-C, Python, and openCypher. Sparksee supports ACID transactions, disk-level encryption, and recovery after database corruption. Keeping data on a user's device can support privacy-preserving apps and reduce reliance on cloud connectivity. Platforms include Android, iOS, Linux, macOS, and Windows, with API and self-hosted options. Eligible academic users can apply for a free licence; commercial licence pricing is on request.

Visit sparsity-technologies.com