GraphDB vs QLever
GraphDB
graphdb.ontotext.comQLever
qlever.devSide by side
| Figure | GraphDB | QLever |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · RDF Databases | 8.1 (#9) | 7.9 (#12) |
| Headquarters | The company privacy policy lists ONTOTEXT AD, doing business as Graphwise, with headquarters in Sofia, Bulgaria. | Freiburg, Germany |
| Support | The edition comparison lists community support for Free and SLA support for Enterprise. | For bugs or missing features, the project asks users to search existing GitHub issues or open an issue or discussion. |
Plans
In their own words
GraphDB
GraphDB is an RDF and SPARQL semantic graph database for storing data and performing inferencing in the Graphwise AI Platform. It supports SPARQL 1.1, RDF4J compatibility, RDFS and OWL 2 RL and QL rulesets, federated queries, and RDF-star. Its real-time forward-chaining reasoning operates across datasets, and the product page describes native GraphRAG and LangChain integration. GraphDB can run as a desktop or standalone server application, be self-hosted, or be deployed on AWS and Azure; downloads are listed for Windows, macOS, Linux, and a platform-independent distribution. The Free edition includes a Lucene connector, one parallel query, and up to five repositories; GraphDB 11 and later requires a free license. Enterprise supports multiple cores, unlimited repositories, high-availability clustering, and connectors for Elasticsearch, OpenSearch, Solr, and Kafka. Free is on-premise only with community support. Enterprise includes SLA support and is licensed per server CPU core, with each cluster node licensed separately. Free costs nothing; Enterprise pricing is on request.
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.