LinkedDataHub vs RDFox
LinkedDataHub
atomgraph.github.io
RDFox
oxfordsemantic.techSide by side
| Figure | LinkedDataHub | RDFox |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 4 |
| Spec score · Knowledge Graph Software | 8.8 (#5) | 8.4 (#10) |
| Deployment | The setup guide runs LinkedDataHub locally with Docker Compose and stores RDF data in backend triplestores. | RDFox can run on a single machine or as a cluster distributing processing across multiple machines. |
| Documentation depth | Documentation covers administration, CLI, configuration, data models, dataspaces, HTTP API, imports, triplestores, stylesheets and user tutorials. | The documentation includes user guides, REST and Java API references, Javadoc, shell instructions, operations manuals, high availability and Docker deployment chapters. |
| Founded | 2011 | 2017 |
| Headquarters | Lithuania | Oxford, United Kingdom |
| Integrations | LinkedDataHub uses Apache Jena Fuseki by default and can work with SPARQL 1.1-compatible triplestores that support SPARQL Query, SPARQL Update, and Graph Store Protocol. | 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. |
| Self-hosting | Deployment uses Docker and Docker Compose, with local, on-premises and cloud options documented. | The product documentation covers cloud, on-premises, edge and on-device deployment scenarios. |
| Support | The documentation lists a mailing list, issue reporting, and support contact as support channels. | Oxford Semantic Technologies says it aims to reply to contact messages within two working days and provides an RDFox Community Slack channel. |
| System requirements | The setup guide requires Bash 4.x, Docker, Docker Compose and recommends at least 8 GB of Docker memory. | Documented operating systems include Windows 8+, macOS 10.14+, CentOS 7+, Ubuntu 16.04+ and Fedora 27+; Docker is also supported. |
| What it does | LinkedDataHub is a low-code platform for managing RDF knowledge graphs, creating visualizations and building applications. | 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
LinkedDataHub
LinkedDataHub is an open-source, low-code platform for managing data, creating visualizations, and building applications on RDF knowledge graphs. It can also operate as an RDF-native content management platform. The interface includes UI components, SPARQL templates for creating and editing content, and SPIN and SHACL constraints for validating incoming data. CSV and RDF imports are supported, with SPARQL CONSTRUCT used for mapping or transformation. Authentication supports WebID and OpenID Connect with Google and ORCID. WAC permissions cover read, write, append, and control access. Git-backed document history is available through Memento. The platform exposes a SPARQL endpoint and read-write Linked Data API, serving documents as HTML or RDF from the same URIs. It uses Apache Jena Fuseki by default, supports compatible SPARQL 1.1 triplestores, and runs locally with Docker Compose. The project is self-hosted under Apache 2.0.
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.