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GraphScope NeuG vs Sparksee

GraphScope NeuG

graphscope.io

Sparksee

sparsity-technologies.com

Side by side

FigureGraphScope NeuGSparksee
Price from—Free
Free plan—Yes
Free trial—Yes
Open source——
Windows—Yes
macOSYesYes
LinuxYesYes
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published04
Spec score · Graph Databases7.5 (#24)8.4 (#9)
DeploymentNeuG can run embedded in an application or expose the same engine as a service.Sparksee runs from an application process against a database file, with no cluster or query server to provision.
PlatformsNeuG supports Linux and macOS on x86 and ARM architectures; its installation guide recommends WSL for Windows users.The trial request form lists Android, iOS, Linux, Mac, Windows Desktop, and Windows Store as operating-system choices.
ProductNeuG is a graph-native transactional database that runs embedded in an application or behind a service.Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities.
SecurityThe Web UI runs on localhost by default, and the documentation recommends firewall rules and a reverse proxy for public or production access.The product page says Sparksee offers disk-level encryption to protect data if a device is stolen, lost, or sold.
SupportThe installation guide directs users to GitHub issues and language-specific reference documentation 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.

Plans

GraphScope NeuG

No plans published.

GraphScope NeuG pricing →

Sparksee

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

Sparksee pricing →

In their own words

GraphScope NeuG

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

Visit graphscope.io

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