Oracle acquires; adds its platform to the Oracle Cloud, enables users to utilize machine learning

Oracle announced on Wednesday that it has signed an agreement to acquire, whose platform centralizes data science tools, projects and infrastructure in a fully-governed workspace. Data science teams use the platform to organize work, access data and computing resources, and execute end-to-end model development workflows.

Various organizations like Amgen, Rio Tinto and Sonos are using the platform to improve productivity, reduce operational costs and deploy machine learning solutions faster to power their digital transformations. empowers data scientists to deliver the business-changing insights executives expect in less time with self-service access to open source tools, data and computing resources, while also improving the ability of IT teams to support that work.

Oracle embeds Artificial Intelligence (AI) and machine learning capabilities across its software as a service (SaaS) and platform as a service (PaaS) solutions, including big data, analytics and security operations, to enable digital transformations. Together, Oracle and will provide customers with a single data science platform that leverages Oracle Cloud Infrastructure and the breadth of Oracle’s integrated SaaS and PaaS offerings to help them realize the full potential of machine learning.

“Every organization 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,” said Amit Zavery, Executive Vice President of Oracle Cloud Platform, Oracle. “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.”

“Data science requires a comprehensive platform to simplify operations and deliver value at scale,” said Ian Swanson, CEO of “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.”

Oracle is committed to protecting and enhancing customer investments in solutions. After the close of the transaction, Oracle plans to continue investing in It expects this will include more functionality and capabilities at a quicker pace. In addition, users will benefit from better integration and alignment with Oracle’s other product offerings. customers should continue to use existing contacts for sales and support to address immediate and ongoing needs. Oracle will communicate all changes and transitions occurring after the close of the transaction well in advance through these familiar channels. partners also should continue to use existing contacts to address immediate and ongoing needs. If contact information changes, Oracle will communicate these changes through normal channels.

Oracle partners may also use their existing Oracle channels for support to answer any questions.


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