Oracle has agreed to acquire, an enterprise cloud platform for data science projects and workloads.

Terms of the deal were not disclosed. is a platform for centralised data science tools and infrastructure. Oracle said it plans to integrate the data science platform with its cloud infrastructure to provide a unified machine learning service.

Data science teams use the platform to organise work, easily access data and computing resources, and execute end-to-end model development workflows.

Its customers include Rio Tinto, Amgen and Sonos, which use the platform to improve productivity, reduce operational costs and deploy machine learning solutions faster to power their digital transformations.

“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,” 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.”

Oracle said it will invest in the continued development of DataScience solutions and expects it will introduce more functionality and capabilities at a quicker pace.

“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 realise the benefits of their investments in data science.”

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