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SPECIFICTION
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Ontotext Platform vs RDFox

Ontotext Platform

platform.ontotext.com

RDFox

oxfordsemantic.tech

Side by side

FigureOntotext PlatformRDFox
Price from—Free
Free plan—Yes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published14
Spec score · Knowledge Graph Software7.4 (#25)8.4 (#10)
DeploymentPlatform applications, services, and data stores are provided as Docker images, with Kubernetes deployment support and a Helm chart.RDFox can run on a single machine or as a cluster distributing processing across multiple machines.
Founded20002017
HeadquartersSofia, BulgariaOxford, United Kingdom
IntegrationsThe platform documentation describes integrations with GraphDB, Elasticsearch, FusionAuth, Kong, MongoDB, Grafana, InfluxDB, and Telegraf.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.
SecurityAuthentication and role based access controls can be configured using FusionAuth, Kong, Semantic Objects RBAC, and GraphDB authorization; these controls are not enabled by default.RDFox v7.0 added encryption at rest and client-certificate authentication using mutual TLS for endpoint and remote-shell requests.
SupportPlatform support is available at [email protected].Oxford Semantic Technologies says it aims to reply to contact messages within two working days and provides an RDFox Community Slack channel.

Plans

Ontotext Platform

  • Commercial time-based licensePriced on request

Ontotext Platform pricing →

RDFox

  • Free evaluationFree
  • RDFox free evaluation licenseFree
  • AWS Marketplace RDFoxPriced on request
  • RDFox commercial licensePriced on request

RDFox pricing →

In their own words

Ontotext Platform

Ontotext Platform has no write-up on Specifiction yet; its figures are above.

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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.

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