Oracle acquires data science platform to integrate into cloud offering

Oracle has signed an agreement to acquire California-based, whose platform is used by organisations such as Rio Tinto and Sonos.

Oracle revealed it would add's platform to its Oracle Cloud offering, providing customers with a single data science platform that leverages Oracle Cloud Infrastructure and the breadth of Oracle's integrated SaaS (software-as-a-service) and PaaS (platform-as-a-service) offerings to help them tap into the potential of machine learning.

The platform centralises data science tools, projects and infrastructure in a fully-governed workspace. According to Oracle, data science teams use the platform to organise work, easily access data and computing resources, and execute end-to-end model development workflows.

“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,” Oracle Cloud Platform executive vice president Amit Zavery said.

“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.”

After the close of the transaction, Oracle plans to continue investing in Oracle expects this will include more functionality and capabilities at a quicker pace. In addition, customers will benefit from better integration and alignment with Oracle’s other product offerings, according to Oracle.

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

On 19 March, Oracle revealed its third quarter results reporting a six per cent increase in revenues US$9.8 billion, compared to Q3 last year. Cloud and on-premises software revenues were up by eight per cent to US$8.0 billion.

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Cloud software-as-a-service (SaaS) revenues, meanwhile, were up by 33 per cent to US$1.2 billion. At the same time, cloud platform-as-a-service (PaaS) plus infrastructure-as-a-service (IaaS) revenues were up 28 per cent to US$415 million.

Total cloud revenues were up by 32 per cent to US$1.6 billion.

Overall, the company reported a net loss for the period of more than US$4 million, representing a 41 per cent year-on-year fall form he net income of US$2.24 billion it reported for the same period the year prior.

This drop was largely due to US$6.9 billion one-time income tax expense in the wake of the US Tax Cuts and Jobs Act.

Read more: Apple hires former Google exec to head up AI strategy

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