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Hortonworks Data Platform (HDP) Announced
Hortonworks' open source big data platform achieves quality assurance and certification for Rackspace Private Cloud
By: Elizabeth White
Jan. 30, 2013 01:00 PM
Hortonworks, a leading contributor to Apache Hadoop, today announced that the Hortonworks Data Platform (HDP), the industry’s only enterprise-ready, 100-percent open source platform powered by Apache Hadoop, has achieved certification for Rackspace Private Cloud.
With HDP, data can be processed from applications that are hosted on Rackspace Private Cloud environments, allowing organizations to quickly and easily 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. “As a consistent, supportable and proven platform, Rackspace Private Cloud is now enabling Hortonworks Data Platform customers to quickly and easily access and analyze data from across their private cloud-powered deployments in Apache Hadoop.”
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.”
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