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Artificial Intelligence Authors: Liz McMillan, Elizabeth White, Corey Roth, Yeshim Deniz, Pat Romanski

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H2O on Hortonworks Data Platform Brings Fully Open Source Predictive Analytics Platform to Market

H2O (, the open source in-memory machine learning and predictive analytics company for big data announced they have joined the Hortonworks Partner Program, enabling a fully open source platform for running predictive analytics on Apache™ Hadoop®, offering customers a seamless, unified approach to getting more insights and value from their existing data and new types of data. H2O is the open source in-memory prediction engine for big data science.

Hortonworks is the only 100-percent open source software provider to develop, distribute and support an Apache Hadoop platform built and tested for enterprise-grade deployments. YARN, a sub-project of Hadoop, enables applications like H2O to run in Hadoop.

“The introduction of YARN in Hadoop 2 enables a broader array of workloads to run on data simultaneously,” said John Kreisa, vice president of strategic marketing at Hortonworks. “Enterprises storing their datasets within a Modern Data Architecture can use H2O to model and retrieve insights from terabytes of data in Hortonworks Data Platform.”

“Our partnership with Hortonworks brings the power of 100% open source in-memory data science and R to Hadoop customers,” said SriSatish Ambati, CEO of H2O. “YARN brings interactivity to Hadoop killer apps like H2O Predictive Analytics.”

H2O delivers parallel and distributed advanced algorithms on big data at speeds up to 100x faster than other predictive analytics providers and is easy to install and deploy in place on big Hadoop clusters. With a simple click, data models can be expressed as source code for scoring engines ready for low latency production environments.

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 9 months. For more information on upcoming H2O meet-ups, please visit or join the movement at

VISIT US AT STRATA Booth #919, Santa Clara Convention Center, Ballroom E, February 11 - 13

  • Meet the H2O team and see our latest H2O Prediction Engine demonstration.
  • Catch H2O CEO SriSatish Ambati speaking at 6:30pm Pacific on Monday, February 10 at the Big Data Science Meetup in Ballroom E, Santa Clara Convention Center, the night before Strata kicks off!

About H2O

H2O brings better algorithms to big data. H2O is a fast open source in-memory prediction engine and machine learning platform. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions. Users can model data quickly and make better data-driven decisions faster by running advanced algorithms such as Deep Learning, Classification, Regression, Decision Trees, Forests, Gradient Boosting, GLM, PCA and more. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling within R and JSON.

Our earliest customers have built powerful domain specific predictive engines for Recommendations, Pricing, Outlier Detection and Fraud Prediction for Insurance and Ad Platforms. H2O is nurturing a grassroots movement of math, systems and data scientists to herald the new wave of Discovery with Big Data Science. H2O is on CRN’s 10 Coolest Big Data Products of 2013 and is a Silicon Valley startup backed by Nexus Venture Partners and other leading angel investors in big data.

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