Oracle snaps up to form a unified machine learning platform

Oracle is to add to its own cloud services after reaching an agreement to purchase the platform, which specialises in centralising data science tools, projects and infrastructure within a single workspace.

This will enable Oracle customers to fully utilise machine learning, organising their work more efficiently while simultaneously improving access to data and computing resources. is employed by the likes of Amgen, Rio Tinto and Sonos to improve productivity, slash operational costs and introduce machine learning solutions more rapidly than would otherwise be possible.

The platform provides self-service access to a suite of open source tools, data and computing resources, all of which will now be added to Oracle’s own extensive machine learning, big data and analytics offering.

Amit Zavery, executive vice president of Oracle Cloud Platform, Oracle said: “Every organisation is now exploring data science and machine learning as a key way to proactively develop competitive advantage, but the lack of comprehensive tooling and integrated machine learning capabilities can cause these projects to fall short. With the combination of Oracle and, customers will be able to harness a single data science platform to more effectively leverage machine learning and big data for predictive analysis and improved business results.”

Ian Swanson, CEO of, added: “Data science requires a comprehensive platform to simplify operations and deliver value at scale. With, customers leverage a robust, easy-to-use platform that removes barriers to deploying valuable machine learning models in production. We are extremely enthusiastic about joining forces with Oracle’s leading cloud platform so customers can realize the benefits of their investments in data science.”

This is Oracle's second purchase in a month, following its acquisition of contextual targeting specialists Grapeshot.