RDFox

Database to overcome flexibility and performance limitations

Overcome the flexibility and performance limitations of alternative databases, with an in-memory RDF-triplestore

RDFox was designed around high-speeds at the University of Oxford

Improve workplace efficiency with semantic technology, unmatched in power, speed and reasoning capabilities

The Radcliffe Camera, a landmark of Oxford University, the birthplace of RDFox

Employ novel designs and concepts, developed at the University of Oxford, and validated in over a decade of peer reviewed research

Optimise speed and parallel reasoning, whilst ensuring correct rule materialisations and query results

Data integration for enriching your business

Maximise the potential of your business by integrating, enriching, verifying and querying data from various data sources

RDFox is an in-memory scalable solution for all devices and servers

Operate at scale and on the fly, on both production grade servers and memory constrained devices

See the use cases...

Working with RDFox

Reasoning

Rules are modelled with the industry standard Datalog language, and can operate incrementally.

Triples

RDFox ingests data in the open standard RDF-triple format which can easily be converted to and from SQL or CSV sources.

Efficiency

Improve enterprise performance with the fastest loading linked data triplestore and by materalising data ahead of query time.

Explainability

Access a deeper layer of knowledge with RDFox’s novel explainability feature.

Read the White Papers

Features

Capabilities

Compatible with a wide range
of data sources

Highly optimised data structure,
with lock-free parallel inserts

OWL 2RL Ontologies

Extensions to Datalog e.g.
AGGREGATE, FILTER, Negation as
a Failure

Existential rules for restructuring data

SPARQL query answering

Performance

Scalable and robust performance

Datalog and SWRL rules

Highly optimised data loading and
query answering

Main memory multi-core architecture

Rules and triples amendments
on the fly

Parallel and incremental reasoning

Deployment

Supported on windows, Mac OS
and Linux

SSL Security

REST API

Access controls

Tested on Kubernetes

User console

Ready to deploy as a docker image