H2O and MapR Partner

Feb. 5 — H2O, the open source in-memory machine learning and predictive analytics company for big data, announced that its flagship H2O product is now certified on MapR Technologies Distribution for Apache Hadoop. Companies that deploy MapR can seamlessly run open source H2O advanced algorithms on data stored in Hadoop clusters without the need for data transfers. By combining the power of H2O’s in-memory prediction engine with a unified platform in MapR, users can get more value from their existing data and easily create models using familiar tools such as R, Python, Scala and Java.

“Together MapR and H2O are working to provide enterprises with easy access to the fastest predictive analytics on the sturdiest Hadoop distribution,” said Bill Bonin, vice president of business development of MapR Technologies. “We’re driving greater value to our customers through a variety of popular use cases from fraud detection and attribution analysis, to analyzing traffic patterns.”

“H2O brings near real-time modeling and low-latency scoring to MapR Enterprise Hadoop Distribution,” said SriSatish Ambati, co-founder and CEO of H2O. “Some of the first to realize increased ROI on their Hadoop investments have been Insurance and Financial Services companies through the use of pricing engines and fraud prediction.”