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qEndpoint

Free#16 of 26 in RDF Databases

qEndpoint: A flexible self-hosted RDF store for Wikibase, GeoSPARQL, and Docker deployments. Ranked #16 of 26 in RDF Databases by our editors (7.6/10); pricing: Open source; best for wikibase, GeoSPARQL, and Docker deployments.

7.6/10Editor score

Visit qEndpoint

qEndpoint7.6 Visit qEndpoint

At a glance

Editor score
7.6 / 10
Pricing
Open source
Best for
Wikibase, GeoSPARQL, and Docker deployments
Paid from
Free
Deployment options
Self-hosted
Facts checked
21 Sep 2026

Where it wins
- Supports SPARQL 1.1, full-text search, and GeoSPARQL
- Provides Docker images, including a Wikidata image
- Connects with Wikibase and integrates with RDF4J applications
Where it doesn't
- Self-hosted deployment requires infrastructure ownership
- Its broad feature set may require technical RDF expertise
- No managed hosting option is listed in its deployment model

Our verdict on qEndpoint

qEndpoint is an open-source RDF triple store for large knowledge graphs and Wikidata-style datasets. It suits teams that need a self-hosted SPARQL endpoint with RDF storage, dataset loading, full-text search, GeoSPARQL support, and a browser query interface. The product can run standalone, be embedded as a Java dependency through RDF4J, or be deployed with Docker. Installers and command-line distributions are available for Linux, macOS, and Windows, while web, API, and self-hosted access cover several operating patterns.

Its strongest fit is the surrounding RDF and knowledge-graph ecosystem. qEndpoint supports SPARQL 1.1 and RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, and TriX. A REST API handles SPARQL queries, and RDF dataset upload and loading support practical ingestion workflows. Wikibase connectivity, Docker images, and a dedicated Wikidata image make the product particularly relevant to Wikibase projects and Wikidata-style data. RDF4J integration also gives Java applications an embedding path rather than limiting use to a standalone server.

The trade-off is operational ownership: qEndpoint is self-hosted, so teams must manage deployment and runtime infrastructure rather than selecting a managed service. Its deployment choices are broad, but that flexibility can add decisions around standalone installation, command-line distributions, Docker, or application embedding. Teams seeking RDF storage with SPARQL, geospatial queries, search, and Wikibase connectivity should consider qEndpoint. Teams wanting a hosted RDF database with provider-managed operations should choose a product built around managed deployment instead.

Your product? Our editors can test qEndpoint in depth and publish a review, labelled as paid · from $149/mo →

qEndpoint pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on github.com

qEndpoint fact sheet

Free plan	Not verified
Paid from	Free
Deployment options	Self-hosted
SPARQL support	Sparql 1.1
Reasoning support	Not verified
RDF-star support	Not verified
Federated queries	Not verified
Supported RDF formats	RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, TriX
Deployment	Self-hosted, Desktop
Platforms	Web, Windows, macOS, Linux
Support	Email, Tickets, Docs
Built for	Small business, Mid-market, Enterprise (editorial estimate)
Pricing	Open source
Website	github.com
Facts checked	21 Sep 2026

Alternatives to qEndpoint

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Featured on iTechGuides

qEndpoint is listed in our RDF Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update