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QLever

qlever.dev

Free plan WebWindowsmacOSLinuxAPISelf-hosted
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Spec score 7.9 #12 of 26 in RDF Databases

What it is

QLever is an open-source graph database for loading and querying large RDF datasets. It implements SPARQL 1.1, including federated queries, named graphs, the Graph Store HTTP Protocol, and updates. The project says it can handle more than a trillion triples on a single commodity machine. It also provides text search over knowledge bases, context-sensitive SPARQL autocompletion, live query analysis, and spatial queries with interactive maps of large sets of geometric objects. QLever can run embedded inside C++ code without a client-server setup. Example datasets include Wikidata, Wikimedia Commons, OpenStreetMap, UniProt, PubChem, and DBLP. It is self-hosted, with official packages for Debian, Ubuntu, Ubuntu-derived distributions, and macOS, plus Docker and Podman images. The official Homebrew package supports ARM64 Apple Silicon Macs, not Intel Macs. Windows use runs Docker inside a virtual machine and may incur significant performance and RAM costs; binary releases are in progress. QLever is free under the Apache 2.0 license.

Spec sheet

What it does
QLever is a graph database implementing RDF and SPARQL for loading and querying large datasets.Read 5 Oct 2026 · github.com
Integrations
The QLever UI exposes backend API URLs and offers query access via GET and POST examples using curl.Read 5 Oct 2026 · qlever.dev
Support
For bugs or missing features, the project asks users to search existing GitHub issues or open an issue or discussion.Read 5 Oct 2026 · github.com
Headquarters
Freiburg, GermanyRead 28 Sep 2026 · qlever.dev
Dataset examples
The project lists demos for Wikidata, Wikimedia Commons, OpenStreetMap, UniProt, PubChem, and DBLP.Read 5 Oct 2026 · github.com
Embedded use
QLever can run as an embedded database inside C++ code without a client-server setup.Read 5 Oct 2026 · github.com
Installation
Official packages are available for Debian, Ubuntu, Ubuntu-derived distributions, and macOS; Docker and Podman images are also available.Read 5 Oct 2026 · docs.qlever.dev
macOS limit
The official Homebrew package supports ARM64 Apple Silicon Macs; Intel Macs are not supported by that package.Read 5 Oct 2026 · docs.qlever.dev
Query assistance
QLever provides context-sensitive autocompletion for SPARQL queries and live query analysis.Read 5 Oct 2026 · github.com
Scale
The project says QLever scales to more than a trillion triples on a single commodity machine.Read 5 Oct 2026 · github.com
Security and compliance
The opened maker pages identify the Apache 2.0 license but do not state a security certification or compliance program.Read 5 Oct 2026 · github.com
SPARQL support
QLever implements SPARQL 1.1, including federated queries, named graphs, the Graph Store HTTP Protocol, and updates.Read 5 Oct 2026 · github.com
Spatial features
QLever supports efficient spatial queries and interactive map visualization of large numbers of geometric objects.Read 5 Oct 2026 · github.com
Text search
QLever includes text search over knowledge bases.Read 5 Oct 2026 · github.com
Windows limit
The documentation says Windows use runs Docker inside a virtual machine and may incur significant performance and RAM costs; binary releases are in progress.Read 5 Oct 2026 · docs.qlever.dev

Plans and prices

QLever Free Open-source software · Apache 2.0 license Read 5 Oct 2026 · github.com

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Strong points and limits

Strong points

  • Implements SPARQL 1.1 and federated queries.
  • Project says it scales beyond a trillion triples on one machine.
  • Includes text search, autocompletion, and live query analysis.
  • Supports spatial queries and interactive map visualization.
  • Free under Apache 2.0 license.

Limits

  • Windows use requires Docker in a virtual machine.
  • Windows VM use may incur significant performance and RAM costs.
  • Homebrew package does not support Intel Macs.
  • Deployment is self-hosted.

Who it suits

QLever suits developers and data teams working with large RDF datasets and SPARQL queries. Its embedded C++ option may suit applications that do not need a client-server setup.

Verdict

QLever brings SPARQL, text, and spatial query capabilities to large RDF datasets, with both server and embedded use. Check the platform-specific installation limits and self-hosting requirements, particularly for Windows and Intel Macs.

Where Specifiction places it

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