Analytics Platform RapidMiner Acquires Big Data Analytics Solution for Hadoop

RapidMiner, a pioneering predictive analytics provider headquartered in Cambridge, Massachusetts, has acquired Radoop, a big data analytics solution for Hadoop. Radoop extends RapidMiner’s data analysis capabilities and together these solutions would provide an enterprise-ready, commercially supported and full-featured predictive analytics suites running in Hadoop.

With the acquisition, Radoop will become a wholly owned subsidiary of RapidMiner and will become the company’s big data division. Through their existing partnership, Radoop is already fully integrated into RapidMiner’s enterprise-ready Studio and Server product lines. RapidMiner will immediately begin selling Radoop. Terms of the deal were not disclosed.

big-data-analytics“Two years ago, when I reported on RapidMiner and its strategic partnership with Radoop, I suggested the company might benefit from acquiring Radoop,” said Krishna Roy, Data Platform and Analytics Team, 451research. “With this acquisition, RapidMiner is capitalizing on a growing, global market opportunity in big data analytics.”

Accelerate global expansion

RapidMiner will retain Radoop employees and capitalize on their know-how, while investing to accelerate the global expansion of the newly formed division. Radoop founder and technology luminary Zoltán Prekopcsák will become vice president of the new division.

“The combination of RapidMiner and Radoop uniquely positions us to take advantage of the synergies that exist between advanced analytics and Hadoop,” said Ingo Mierswa, co-founder and CEO of RapidMiner. “With 38,000 production deployments and 250,000 active users, RapidMiner’s advanced analytics platform has seen phenomenal adoption across an ever-growing number of organizations. With the addition of Radoop, business and IT organizations can now fully leverage the world’s most comprehensive predictive analytics suite in a platform that costs far less than proprietary technologies, delivers greater functionality, and is easier to deploy and manage.”