RDFox

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

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

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

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

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
Main memory multi-core architecture
Highly optimised data loading and
query answering
Rules and triples amendments
on the fly
‍
Parallel and incremental reasoning

Deployment
Supported on windows, Mac OS
and Linux
SSL Security
Access controls
REST API
Tested on Kubernetes
‍
User console
Ready to deploy as a docker image

High performance knowledge graph and semantic reasoning engine.

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