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Red Hat and Hortonworks expand strategic Big Data alliance

Thor Olavsrud | Feb. 11, 2014
The two partners are working to make it easier than ever to bring Hadoop into the enterprise with an open hybrid cloud model and improved customer support collaboration.

Red Hat and Hortonworks, provider of one of the most popular Apache Hadoop distributions, expanded their existing strategic alliance on Monday as part of an effort to make it easier than ever to bring Hadoop into the enterprise in production environments.

Under the expanded alliance, the partners will integrate their product lines and enable joint go-to-market initiatives and seamless collaborative customer support. Additionally, the partners announced the availability of a beta of a Hortonworks Data Platform (HDP) plug-in for Red Hat Storage that allows Hortonworks' Hadoop distribution to run natively on top of Red Hat's storage offering.

"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," says Shaun Connolly, vice president of corporate strategy at Hortonworks.

"Our mutual customers complement both their Hadoop strategy and commitment to community-driven open source innovation," Connolly says.

An Open Road to Big Data
By tightly integrating HDP with open hybrid cloud technologies - including Red Hat Enterprise Linux OpenStack Platform, OpenJDK, Red Hat JBoss Middleware and Red Hat Storage - the two partners aim to deliver open hybrid cloud infrastructure solutions that will enable their customers to deploy next-generation big data applications.

The immediate initiatives of the expanded alliance include the following:

  • Data architects will be able to combine data in a single, scalable open source repository. The combination of HDP and Red Hat Storage will provide customers a secure and resilient 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.This will let them meet changing demand with an open and flexible platform that supports a full range of deployment scenarios from physical to virtual to cloud. The partners say the combination of HDP with Red Hat Enterprise Linux and OpenJDK will provide faster development of enterprise-strength analytic applications, while the combination of HDP with Red Hat Enterprise Linux OpenStack Platform provides elastic Hadoop services on a secure, private cloud infrastructure to lower costs and improve flexibility.
  • Developers will be able to quickly build new analytic applications. This will allow them to take advantage of new data types and data analysts will have improved access to data through standard interfaces. By combining HDP with Red Hat JBoss Data Virtualization, the partners aim to integrate Hadoop with existing information sources including data warehouses, SQL and NoSQL databases, enterprise applications, cloud applications and flat and XML files. This, in turn, allows for business-friendly, reusable and virtual data models with unified views through the combination and transformation of data from multiple sources.


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