QLever vs RDFox
QLever
qlever.dev
RDFox
oxfordsemantic.techSide by side
| Figure | QLever | RDFox |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · RDF Databases | 7.9 (#12) | 8.5 (#3) |
| Spec score · Knowledge Graph Software | 7.9 (#17) | 8.4 (#10) |
| Headquarters | Freiburg, Germany | Oxford, United Kingdom |
| Integrations | The QLever UI exposes backend API URLs and offers query access via GET and POST examples using curl. | RDFox was made available on AWS Marketplace through a DataLens partnership with pay-as-you-go deployment and connectors for SQL, CSV, XML, JSON, REST and unstructured data. |
| Support | For bugs or missing features, the project asks users to search existing GitHub issues or open an issue or discussion. | Oxford Semantic Technologies says it aims to reply to contact messages within two working days and provides an RDFox Community Slack channel. |
| What it does | QLever is a graph database implementing RDF and SPARQL for loading and querying large datasets. | RDFox is an in-memory RDF triplestore and semantic reasoning engine that queries graph data with SPARQL. |
Plans
RDFox
- Free evaluationFree
- RDFox free evaluation licenseFree
- AWS Marketplace RDFoxPriced on request
- RDFox commercial licensePriced on request
In their own words
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.
RDFox
RDFox is a main-memory data store for centralized RDF graphs, queried with SPARQL 1.1. It represents rules and ontological axioms with Datalog, OWL 2 and SWRL, and updates rule consequences as data changes; it can process 2–3 million new-fact inferences per second. Its supported knowledge-graph technologies include RDF, SPARQL 1.1, Datalog, SWRL, OWL 2 RL and SHACL. Java applications can connect through a native API, or RDFox can run as a standalone server through a REST API. Import and export formats include CSV, JSON, N-Triples, Turtle, TriG and OWL 2 Functional-Style Syntax. It can replicate knowledge and data changes across servers to maintain service during an outage, and deployments are described for cloud, on-premises, on-device and edge use. RDFox runs on Linux, macOS and Windows. Security features include encryption at rest, mutual-TLS client-certificate authentication and OpenID Connect single sign-on. Pricing is on request; the free 30-day evaluation license is restricted to evaluation and non-commercial use.