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H2O Announces Native Scala Support for Big Data Predictive Analytics

0xdata (www.0xdata.com), the open source machine learning and predictive analytics company for big data, today announced its full support for Scala in H2O. Open source H2O is the industry's fastest in-memory prediction engine for big data. It provides parallel and distributed advanced algorithms on big data at speeds up to 100X faster than other predictive analytics providers.

Scala is one of the fastest growing language and application communities in big data and machine learning and brings scripting and functional expressive power natively to the Java Virtual Machine (JVM). Scala has gained preeminence in real-time data pipelining and domain specific applications. H2O’s support for Scala gives developers the ability to embed and extend pre-built predictive algorithms such as Classifications, Regressions, Decision Trees and Deep Learning into data products. JVM byte code emitted by Scala runs far more efficiently on distributed systems using H2O’s extremely fast in-memory processing and code optimized for a Java Just-in-Time (JIT) compiler.

“We have deep roots in the Java community and Scala has easily become one of the leading languages for big data. With open source H2O, Scala users can analyze distributed in-memory data sets and run wickedly fast intelligent applications and data products,” said SriSatish Ambati, 0xdata’s CEO. “We are JIT'ing JVM friendly code for Scala designers and made it simple to add massively scalable predictive analytics to any application architecture built on the JVM runtime.”

“By building full support for Scala into H2O, 0xdata has made it possible to easily and quickly integrate extremely fast predictive analytics capabilities into Scala-based applications,” said Martin Odersky, creator of Scala and Chairman, Chief Architect and co-founder of Typesafe, the company behind Play Framework, Akka and Scala.

In adding Scala support, H2O is further democratizing big data science by bringing functional and next generation programmers to data science. H2O users can model big data from within Microsoft Excel and RStudio and connect it with data from HDFS, object stores like Amazon S3, or SQL and NoSQL sources. The entire H2O package installs in minutes and deploys anywhere - on a desktop, on Amazon EC2, or on big Hadoop clusters. With a simple click, data models can be transformed into production-ready scoring engines for low latency application scenarios.

H2O's in-memory columnar compression and fine-grain parallelism via Map Reduce provides unmatched speed, scale and extensibility for advanced algorithms on big data. The H2O platform offers simple extensibility so customers can create and deploy their own algorithmic models for their data products.

More information will be available about Scala and H2O at the SF Scala Meetup on Thursday, December 17. Please visit http://www.meetup.com/SF-Scala/events/153854762/ to register.

About 0xdata

0xdata are makers of H2O, the open source in-memory prediction engine for big data. H2O is the world's fastest in-memory platform for machine learning and predictive analytics on big data. Running advanced algorithms such as Classification, Regression, Decision Trees, Deep Learning, Gradient Boosting, GLM, PCA and RF, among others, users can model data quickly and make better data-driven decisions faster. CRN named H2O as one of the 10 coolest big data products of 2013. 0xdata is based in Silicon Valley and is backed by Nexus Venture Partners along with other leading angel investors in big data. H2O is nurturing a grassroots movement of math, systems and data scientists to herald the new wave of Discovery with Big Data Science. For information on upcoming H2O meetups, please visit http://0xdata.com/events/ or join the movement at https://github.com/0xdata/h2o.

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