Open source leaders bring enterprise Apache Hadoop to the open hybrid cloud
Hortonworks, the leading contributor to and provider of enterprise Apache Hadoop, and Red Hat have expanded their relationship through the formation of a strategic alliance encompassing the integration of product lines, joint go-to-market initiatives and collaborative customer support. The companies also announced the availability of the beta program for the Hortonworks Data Platform (HDP) plug-in for Red Hat Storage.
Ranga Rangachari, vice president and general manager, Storage and Big Data, Red Hat, said,
“Data – specifically data running processed with Hadoop – is the killer application for the open hybrid cloud. Enterprises are looking to IT solution providers to help with a dramatic reduction in time-to-results for their big data projects. Red Hat’s strategic alliance with Hortonworks is focused on helping customers with efficiency and agility as they embark on big data projects.”
Immediate initiatives that are included in the expanded Hortonworks and Red Hat strategic alliance include
Data architects will be able to combine data in a single, scalable open source repository. Available in beta software version, 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).
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 full range of deployment scenarios – from physical to virtual and cloud. HDP combined with Red Hat Enterprise Linux and OpenJDK provides faster development of enterprise-strength analytic applications.
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.