QLever is a graph database and SPARQL engine that implements the RDF and SPARQL 1.1 standards. It is designed to load and query large-scale triple datasets a single machine. The system supports materialized views, full-text search, context-sensitive autocompletion, spatial queries, federated queries, named graphs, and updates. It operates in client-server mode or can be embedded into C++ applications.
- Website
- https://qlever.dev/[01]
- Source Code
- https://github.com/ad-freiburg/qlever[02]
- Tech Docs
- https://docs.qlever.dev[03]
- Developer
- Country of Origin
- DE
- Start Year
- 2014
- Project Types
- Academic, Open Source
- Written in
- C++
- Supported Languages
- C++
- License
- MIT License
QLever is a graph database and SPARQL engine that implements the RDF and SPARQL 1.1 standards. It is designed to load and query large-scale triple datasets a single machine. The system supports materialized views, full-text search, context-sensitive autocompletion, spatial queries, federated queries, named graphs, and updates. It operates in client-server mode or can be embedded into C++ applications.
History
The system is developed by the Database Research Group at the University of Freiburg. The project has been documented in multiple research publications covering its architecture, performance optimizations, and features such as SPARQL autocompletion. Development remains active with regular updates to public demo instances hosting datasets like Wikidata, OpenStreetMap, and DBLP.