Hortonworks, Mirantis, Red Hat team up on Hadoop

Trio announces plan to accelerate Project Savanna within the OpenStack Foundation

Tags: Hortonworks (www.hortonworks.com)Mirantis (www.mirantis.com)Red Hat Incorporation
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Hortonworks, Mirantis, Red Hat team up on Hadoop The collaboration aims to provide a number of add-ons including the provision of open-source APIs.
By  Stephen McBride Published  April 24, 2013

Apache Hadoop contributor Hortonworks, OpenStack systems integrator Mirantis and open source solutions specialist Red Hat, Inc today announced they will work together to contribute to Project Savanna under the OpenStack community guidelines to deliver Apache Hadoop on OpenStack.

The collaboration aims to provide a number of add-ons including the provision of open-source APIs and simpler transitions when moving Hadoop workloads between public and private clouds.

OpenStack is a framework for building and managing private, public and hybrid Infrastructure-as-a-Service (IaaS) clouds, with core software projects providing compute; storage and networking management services; and a shared identity service and dashboard.

Hadoop enables distributed processing of large data sets across clusters of computers using simple programming models. The goal of Project Savanna is to enable OpenStack users to provision and manage elastic Hadoop clusters to speed the development and deployment of cost-effective Hadoop on OpenStack.

The collaborative effort between Hortonworks, Mirantis and Red Hat will focus primarily on contributing engineering resources to Project Savanna, originally introduced as an OpenStack project by Mirantis.

An important initial step for Savanna is to provide an integration point for third-party Hadoop provisioning and management frameworks, such as the Apache Ambari project. This will allow enterprise users to provision Hadoop distributions quickly via OpenStack APIs and dashboard. In addition, Savanna will allow the utilisation of unused compute power from a general purpose OpenStack infrastructure pool for Hadoop workloads. The companies expect to demonstrate the technology at the Hadoop Summit on June 26, 2013 in San Jose, California.

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