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RDFox
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RDFox
Features
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Developers
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A lightweight and highly scalable graph database, RDFox is paving the way for the next generation of on-device solutions. With unmatched speed and cutting-edge rules-based AI it provides the perfect engine for any data-centric mobile application that requires high performance or functionality. Capable of real-time analytics, personalised recommendations, and secure privacy, RDFox has been used on mobile device to enable some of today’s most innovative use cases.
RDFox is the only in-memory knowledge graph on the market, which also makes it the fastest.
RDFox is an incredible lightweight application and has a highly optimised memory footprint.
RDFox’s unique semantic reasoning draws human conclusions, enabling the efficient extraction of powerful insights.
The in-memory design produces 10-1000x faster results than other graph databases and enables enterprise-level scaling.
With RDFox, businesses can harness the power of a remote or portable knowledge graph while safeguarding data privacy and reducing expenses. This technology empowers our clients to unlock valuable insights, optimize search functionality, personalize user experiences, and perform sophisticated data analysis, all at the speed required to meet user expectations.
An on-device knowledge graph is a powerful tool that combines relevant information with existing data to deliver maximum value to users. Unlike traditional databases, knowledge graphs have a dynamic structure that adapts to new data, making them ideal for real-world applications in rapidly changing environments. By incorporating semantic reasoning, these graphs enable businesses to extract valuable insights from their data, resulting in improved search capabilities, enhanced personalization, and robust analysis.
RDFox, our cutting-edge solution, stands out as an in-memory graph database. This means that all data is stored directly on the user's device, eliminating privacy and security concerns. Our clients and their users can rest assured knowing that their personal data remains secure and protected. In addition, storing all information on the device eliminates the need for costly data storage and communication expenses, ensuring cost-effective solutions for businesses.
A powerful use case of RDFox is to supercharge personalised recommendations on a smartphone. All stored on-device to alleviate privacy concerns, a personal knowledge graph is created on a user’s device with information about them and their habits. For example, this may be demographic information, songs they listen to, or products they’ve bought. This data is then used within the context of their on-device activity—browsing a store or streaming service—to provide personalised recommendations and ultimately a bespoke user experience.
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