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SPECIFICTION
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Dydra vs qEndpoint

Dydra

dydra.com

qEndpoint

github.com

Side by side

FigureDydraqEndpoint
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published20
Spec score · RDF Databases8.0 (#11)7.4 (#21)
ProductDydra is a cloud-based graph database for highly connected data, including social networks.qEndpoint is a highly scalable RDF triple store with full-text and GeoSPARQL support.
SupportDydra’s documentation directs users who need help to contact [email protected].The README directs users to GitHub issues, the maintainer’s profile contact options, or The QA Company website for support.

Plans

Dydra

  • Basic useFree
  • Production usePriced on request

Dydra pricing →

qEndpoint

No plans published.

qEndpoint pricing →

In their own words

Dydra

Dydra is a cloud graph database for highly connected data, including social networks. It stores information as a property graph and supports SPARQL 1.1 queries and updates through a standard endpoint for each repository. Repositories import RDFa, RDF/JSON, N-Quads, N-Triples, RDF/XML, TriG and Turtle, and export N-Triples, Turtle and RDF/XML. Dydra also provides a standard REST API and a Ruby client gem that can operate as a command-line interface. The service says it manages versioning, disaster recovery and performance for the data store. Described applications include social networking, movie relationships and transaction logs. A free Basic use plan has limited resources: public evaluation accounts allow five queries per second and repositories should remain at or below one million statements. Federation is disabled for public accounts, and the default graph is fixed to the repository default. Customers retain data ownership and may delete data. Dydra is headquartered in Berlin, Germany.

Visit dydra.com

qEndpoint

qEndpoint is a free, open-source RDF triple store for self-hosted linked-data workloads. It supports full-text search, GeoSPARQL, and SPARQL 1.1, either as a standalone endpoint or as a dependency. A graphical interface lets users write and run SPARQL queries, while a RESTful HTTP API handles queries. Datasets can be uploaded in RDF4J-supported formats, including RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, and TriX. Result formats include JSON, XML, and Binary RDF. Docker images are available for qEndpoint and for a Wikidata-indexed variant supporting wikidata_truthy and wikidata_all datasets. The Docker setup defaults to 6G memory; large datasets are discouraged below 4G, and Wikidata-all requires at least 10G. Installation documentation covers Scoop, Homebrew, and a CLI ZIP release. The project describes Wikibase use and is licensed under GNU GPL v3.

Visit github.com