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SPECIFICTION
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Corese vs QLever

Corese

corese.inria.fr

QLever

qlever.dev

Side by side

FigureCoreseQLever
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published01
Spec score · RDF Databases7.6 (#17)7.9 (#12)
SupportThe project directs support questions and feature discussions to its GitHub discussion forum and invites issue reports and pull requests.For bugs or missing features, the project asks users to search existing GitHub issues or open an issue or discussion.

Plans

Corese

No plans published.

Corese pricing →

QLever

  • QLeverFree

QLever pricing →

In their own words

Corese

Corese is a free platform for working with RDF data and knowledge graphs, including tools to create, manipulate, query, reason over, and validate data. Its web server provides a SPARQL endpoint, a SHACL validator, federated SPARQL queries, and Linked Data navigation using SPARQL templates and functions. A web tutorial lets users choose queries, inspect patterns and datasets, and submit queries to the server. CORESE-Core is a Java library for Semantic Web research and projects; it implements and extends standards such as RDF, RDFS, SPARQL 1.1 Query and Update, OWL RL, and SHACL. It also offers STTL, SPARQL Rule, and LDScript extensions. Interfaces include a graphical interface, command line, Java library, server, and beta Python wrapper. The project lists Jena and RDF4J storage integrations and distributes releases through Maven, Docker, Flathub, and Pip. The server can run as a Docker container or JAR for self-hosted endpoints. The Wimmics repository was archived in July 2026, with development and maintenance moved to the Corese-stack organization.

Visit corese.inria.fr

QLever

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.

Visit qlever.dev