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Hortonworks and Red Hat Bring Enterprise Hadoop to the Open Hybrid Cloud


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Hortonworks, a provider of enterprise Apache Hadoop, and Red Hat, Inc., a provider of open source solutions, have introduced a beta program for the Hortonworks Data Platform (HDP) plug-in for Red Hat Storage. The program comes alongside the companies’ expanded relationship through the formation of a strategic alliance covering the integration of product lines, joint go-to-market initiatives and collaborative customer support.

With an enterprise Apache Hadoop platform that is tightly integrated with open hybrid cloud technologies, such as Red Hat Enterprise Linux OpenStack Platform, OpenJDK, Red Hat JBoss Middleware, and Red Hat Storage, the two companies say they can deliver infrastructure solutions that enable advanced data-driven applications that will enable enterprise stakeholders to more quickly analyze big data to realize business insights and value.

“At the rapid rate that enterprises expand their Hadoop requirements – due to the business consistently identifying new use cases and more internal stakeholders – the Red Hat and Hortonworks strategic alliance provides a seamless approach to enabling the next generation of data-driven applications,” said Shaun Connolly, vice president, corporate strategy, Hortonworks. “Our mutual customers complement both their Hadoop strategy and commitment to community-driven open source innovation.”

According to the companies, with the expanded Hortonworks and Red Hat strategic alliance:

  • Data architects will be able to combine data in a single, scalable open source repository. The Hortonworks Data Platform (HDP) combined with Red Hat Storage -  now in beta - provides a general-purpose storage pool with multiple interfaces, including Hadoop, POSIX and OpenStack Object Storage (Swift).
  • Enterprise operators and application developers will be able to elastically scale their Hadoop infrastructure to meet changing demand with an open platform that supports a range of deployment scenarios – from physical to virtual and cloud.
  • Developers will be able to quickly build new analytic applications to take advantage of new data types and data analysts will have improved access to data through standard interfaces. HDP combined with Red Hat JBoss Data Virtualization integrates Hadoop with existing information sources including data warehouses, SQL and NoSQL databases, enterprise and cloud applications, and flat and XML files. The solution creates reusable and virtual data models with unified views by combining and transforming data from multiple sources including Hadoop.

Learn more about the beta program for the HDP plug-in for Red Hat Storage


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