H2O and Cloudera Team Up to Deliver In-Memory Predictive Analytics

STRATA CONFERENCE 2014 COVERAGE

H2O, the open source in-memory machine learning and predictive analytics company for big data, announced a partnership with Cloudera, a leader in enterprise data management powered by Apache™ Hadoop. Through this collaboration, companies that use Cloudera’s Enterprise editions can deploy H2O’s open source software on existing Hadoop clusters without the need for data transfers. Leveraging Cloudera’s leadership and expertise in open source and big data infrastructure, H2O will enable enterprises to perform big data analysis in-memory at speeds up to 100x faster than other predictive analytics providers as a result of being able to combine batch, interactive, and streaming jobs in the same application.

H2O is pushing the boundaries of Hadoop and bringing data science to the masses by creating an easy to use, seamless experience for the user,” said Tim Stevens, vice president, Business and Corporate Development, Cloudera. “The joint solution expands the use cases for our customers by enabling customers to run predictive models across massive datasets at in-memory speeds.”

The key to H2O’s interactive performance is its fast in-memory parallel processing. Cloudera users can take advantage of having a seamless workflow and unified management of predictive analytics within Cloudera Manager and Cloudera Navigator.

Early customer traction at a number of insurance and media companies are paving the way for widespread adoption,” said SriSatish Ambati, CEO and co-founder of H2O. “H2O on Cloudera’s enterprise data hub (EDH) brings the predictive power of big data to data scientists using familiar interfaces of R, Scala, JavaScript, Java and Python.”

A vibrant community of data scientists, systems and language enthusiasts has built up quickly around a shared interest in H2O. H2O has sponsored or participated in 45 data science meet-ups over the past nine months. For more information on upcoming H2O meet-ups, please visit http://0xdata.com/events/ or join the movement at http://0xdata.com/h2o-2/community/

Here is a compelling overview video explaining H2O:

 

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