Hortonworks today announced that the Hortonworks Data Platform (HDP) has achieved certification for Rackspace Private Cloud.

As a part of The Rackspace Open Cloud platform, the company launched the Rackspace Private Cloud Software in August 2012, with thousands of organizations in over 125 countries spanning all continents downloading the product. HDP is the only Apache Hadoop distribution to have received this certification.

With HDP, data can be processed from applications that are hosted on Rackspace Private Cloud environments, allowing organizations to obtain additional business insights from this information. The provisioning, monitoring and management components of HDP are important enablers for the integration with the Rackspace Private Cloud, providing an easy path for getting data into and out of the cloud.

“The Hortonworks Data Platform powered by Apache Hadoop assessed and certified for Rackspace Private Cloud, enables enterprise organizations to test the open source big data platform’s compatibility with OpenStack-powered private clouds,” said Paul Rad, vice president, Private Cloud, Rackspace.

After a detailed testing and validation process, Hortonworks Data Platform is now certified for building private clouds based on Rackspace Private Cloud Software v2.0. HDP qualifies for the Rackspace Private Cloud Open Reference Architecture “Mass Compute with External Storage”, signifying that it has met specific integration and interoperability standards and works effectively with Rackspace Private Cloud Software.

“The Hortonworks Data Platform is emerging as the de facto Apache Hadoop distribution for cloud providers, and the certification for Rackspace Private Cloud is another significant step in the enterprise viability of Hadoop,” said Herb Cunitz, president, Hortonworks. “Our commitment to the 100-percent open source model ensures that cloud providers will avoid any vendor lock-in when deploying HDP and Rackspace Private Cloud, and further extends the Apache Hadoop ecosystem to the private cloud, providing another method for exploring and enriching enterprise data with Hadoop.”