RDF Studio vs RDFox
RDF Studio
rdf-studio.comRDFox
oxfordsemantic.techSide by side
| Figure | RDF Studio | 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 |
| Plans published | 1 | 4 |
| Spec score · Knowledge Graph Software | 7.7 (#22) | 8.4 (#10) |
Plans
RDFox
- Free evaluationFree
- RDFox free evaluation licenseFree
- AWS Marketplace RDFoxPriced on request
- RDFox commercial licensePriced on request
In their own words
RDF Studio
RDF Studio is a semantic data workspace for exploring, querying, visualizing, and modeling RDF knowledge graphs. Its SPARQL editor offers syntax highlighting, autocomplete, PREFIX folding, a query library, and execution history. A visual ontology editor handles OWL/RDFS classes, properties, and restrictions. The SHACL editor supports browsing, editing, and generating shapes, then validating them through a dashboard with maturity scoring. RDF Studio includes an Oxigraph store and connects to GraphDB, Virtuoso, Stardog, Amazon Neptune, Apache Jena Fuseki, and SPARQL 1.1-compatible endpoints. Saved queries can be exposed as REST API endpoints. AI can draft ontology changes for review and generate SPARQL from natural-language questions. The desktop app is available for macOS, Windows, and Linux, and the maker says it works offline. A Northwind training environment includes query examples, a guided CRUD tutorial, an OWL 2 ontology, and SHACL shapes. RDF Studio is free, but is a preview release under active development, provided as-is and not intended for production or business-critical systems. The maker advises evaluation on test data; full OWL 2 RL closure at the stated 133-million-triple scale remains slow.
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.