Red Hat, Hortonworks Expand Hadoop Partnership

Darryl K. Taft covers IBM, big data and a number of other topics for TechWeekEurope and eWeek

Hortonworks and Red Hat are to broaden their partnership with planned products including an HDP plug-in for Red Hat Storage

Hortonworks and Red Hat announced an expansion of their existing relationship to form a strategic alliance that will include the new Hortonworks Data Platform (HDP) plug-in for Red Hat Storage.

The enhanced alliance between open-source leaders in the Hadoop and Linux worlds encompasses the integration of product lines, joint go-to-market initiatives and collaborative customer support, as well as the availability of the beta programme for the HDP plug-in for Red Hat Storage.

Rapid expansion

“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,” Shaun Connolly, vice president of corporate strategy at Hortonworks, said in a statement.

hadoopRed Hat said that, 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 plan to deliver infrastructure solutions that enable the next generation of data-driven applications. This will enable enterprises to more quickly analyse big data.

The expanded alliance will help developers 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 Virtualisation 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 business-friendly, reusable and virtual data models with unified views by combining and transforming data from multiple sources including Hadoop. This creates integrated data available on-demand for external applications through standard SQL and web services interfaces.

Scalability

Enterprise operators and application developers will be able to elastically scale their Hadoop infrastructure to meet changing demand with an open and flexible platform that supports a range of deployment scenarios – from physical to virtual and cloud, Red Hat said. HDP combined with Red Hat Enterprise Linux and OpenJDK facilitates the development of analytic applications. HDP combined with Red Hat Enterprise Linux OpenStack Platform provides Hadoop services on a secure, private cloud infrastructure.

Data architects will be able to combine data in a single repository. The Hortonworks Data Platform (HDP) combined with Red Hat Storage provides a secure and resilient general-purpose storage pool with multiple interfaces, including Hadoop, POSIX and OpenStack Object Storage (Swift). This can improve flexibility and speed the development and deployment of new and existing analytic workflows.

Hortonworks and Red Hat have been leveraging the Apache Ambari operational framework to add support for Red Hat Storage. Ambari supports pluggable Stacks and Services and Red Hat has leveraged this extensibility to add Red Hat Storage as an option when installing HDP via Ambari.

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Originally published on eWeek.