Skip to content
SPECIFICTION
Get listed

EMBA vs Sparksee

EMBA

github.com

Sparksee

sparsity-technologies.com

Side by side

FigureEMBASparksee
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open source——
Windows—Yes
macOS—Yes
LinuxYesYes
iOS—Yes
Android—Yes
API—Yes
Self-hostedYesYes
Plans published14
Spec score · Mobile Databases7.8 (#11)8.3 (#4)
SupportThe FAQ directs users to open a GitHub issue with the question label for help.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.
System requirementsThe installation guide lists 16 GB or more of RAM, at least 8 processor cores recommended, and 30–100 GB of free disk space.Supported targets include 32- and 64-bit Windows, 32- and 64-bit Linux, Mac OS X, Android, iOS and QNX; Java requires JVM 5 or newer, .NET requires 2.0 or newer, C++ requires libc6 or Visual Studio 2005 or newer, and Python requires 2.7.

Plans

EMBA

  • EMBAFree

EMBA pricing →

Sparksee

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

Sparksee pricing →

In their own words

EMBA

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

Visit github.com

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