RDFox is the high-performance knowledge graph and Semantic Reasoning Engine.
On
Cloud
Premise
Mobile
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Cloud
Premise
Mobile
Device
Cloud
RDFox can be deployed on anything from mobile or edge device to the largest cloud instances available.

Knowledge Graphs Hosted on a Cloud Instance

For many of our clients, the speed and capability of RDFox have enabled applications that demand more than the limitations of on-premises solutions. So, by harnessing the power of cloud infrastructure, they can make the most of RDFox on a new scale.

In addition to the greater deployment security, stability, and flexibility that cloud deployment inherently provide, RDFox enables our clients to seamlessly store, transform, and analyse vast volumes of interconnected data in real-time, unlocking valuable insights and driving informed decision-making. This dynamic solution can be adapted to evolving data and business needs, optimizing performance and reducing operational overhead, ensuring an agile and cost-effective solution.

With enterprise features such as high availability, remote access, and access control, it has never been easier for teams to build more reliable, impactful solutions.

Why RDFox?
Scalable

With patented optimization technology, RDFox is highly-scalable, able to handle the largest data sets with ease.

Incremental Reasoning

RDFox’s reasoning makes updates as soon as data is added or removed without impacting performance or requiring a reload.

High Availability

Avoid downtime—keep your solution online 24/7, 365 days a year, with RDFox's high availability setup.

High Performance

The in-memory design produces 10-1000x faster results than other graph databases and enables enterprise-level scaling.

On-cloud Knowledge Graphs

The Biggest Publicly Available Knowledge Graph

Synonymous with huge data is Wikidata—a connected-data companion to Wikipedia that, with over 100 million items, serves as the world’s largest open knowledge base. This is such a colossal dataset that, for most applications, only a fraction of the total data is ever loaded into a single database. With RDFox however, Wikidata can be used in its entirety.

While other systems may take days to load this behemoth (if at all), with RDFox it takes less than 3 hours. Even when compared with Wikidata’s native query engine RDFox is orders of magnitude quicker, executing queries in milliseconds rather than several seconds.

Best of all, Wikidata is available for anyone to access, so anyone can get their hands on it and try it out for themselves. We highly encourage you to do.

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How to Set Up a Knowledge Graph on The Cloud

Whether using RDFox on premise or on the cloud, the process of setting up RDFox is the same. Download the latest version of RDFox, request a trial license, and follow the simple steps in the getting started guide.

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Many of our clients us providers such as Amazon Web Services (AWS) or Google Azure to host large instances that run RDFox. These are often used to support high availability setups.

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