MapR and Canonical are teaming up to increased distribution of MapR M3 Edition for Apache Hadoop with Ubuntu to ease deployments of the MapR solution in addition to OpenStack.
MapR and Canonical, both open source technology vendors in Apache Hadoop and Linux Ubuntu, respectively, are partnering to bring Canonical's Juju Charm to the OpenStack world. For channel partners dealing in open source cloud, this is good news, as Juju Charm is intended to make it easier to deploy MapR M3 Edition for Apache Hadoop into OpenStack environments.
Designed for use in both public and private clouds, Juju Charm is a package management system for implementing cloud technologies. "Charms," as Canonical calls them, are pre-configured deployment tools developed for specific products. The MapR Juju Charm will launch on April 25 as part of the Ubuntu 13.04 release.
"Our customers want optimized workloads to run in their cloud and now, with the addition of MapR M3 as an easily deployable and enterprise-grade Hadoop solution, we are providing Ubuntu customers with an effective way to implement Big Data into their operations," said Kyle MacDonald, Canonical's vice president of cloud, in a prepared statement.
A MapR Juju Charm is not the only thing the two companies are working on. Expanding on their open source strategies again, they are working together to launch MapR M3 Edition for Apache Hadoop with Ubuntu, teaming the popular Linux distribution with the Big Data management solution. It will be released for free on April 25 through the Ubuntu Partner Archive for 12.04 LTS and 12.10 releases of Ubuntu—giving Ubuntu partners another tool in their kits.
"For OpenStack customers, this packaged offering of Ubuntu with MapR is a fast and simple means to enable Hadoop as a service in their environments," said Tomer Shiran, MapR's director of product management, in a prepared statement.
As noted by sister site The VAR Guy, Hadoop already has an established channel, and the world of Big Data is continuing to grow and expand. By working with Canonical, MapR can only expect to build on the momentum it's had in Big Data and open source so far, which in turn should enable its channel partners who are trying to help their customers solve problems with open source solutions.