By Anil SharmaNimbula, a cloud operating system company, recently unveiled its elastic Hadoop solution with MapR Technologies, a provider of open, enterprise-grade distribution for Apache Hadoop, in order to help customers get their Hadoop cluster running on a Nimbula Director-based cloud in minutes.
The solution combines Nimbula Director with MapR's Hadoop distribution and includes templates, recipes and verification tests for running Hadoop on Nimbula Director.
The Nimbula Director, Nimbula's private cloud platform, takes bare metal servers with local disks and turns them into a large multi-tenant pool of compute with a self-service provisioning interface that allows for the repeated provisioning and deprovisioning of Hadoop and non-Hadoop workloads.
The automation of the Hadoop services from MapR and the automation of the underlying instances from Nimbula work together to maintain a fully-functional and highly-available Hadoop cluster.
Additionally, the elasticity and multi-tenancy of Nimbula Director complement the dependability and security of the MapR Hadoop Distribution, allowing clusters to grow and shrink over time and to be completely isolated from one another -- all on a single pool of infrastructure.
"Nimbula is excited to be working with MapR to deliver the industry's first turnkey Hadoop solution for private cloud," said Jay Judkowitz, director of product marketing at Nimbula, in a statement.
Judkowitz added that with this solution, customers can have the best of two worlds. They can have big data processing from Hadoop seamlessly integrated with the private cloud's ability to deliver low cost shared infrastructure that manages elastic demand between multiple tenants.
"MapR is always looking to bring its leading Hadoop technology to more environments to serve more customers and use cases," commented Jack Norris, vice president of marketing at MapR.
With the Nimbula elastic Hadoop solution, MapR has a streamlined and simplified way to deliver Hadoop onto private clouds. And Nimbula's private cloud, with its focus on security, multi-tenancy and high availability, made it a perfect target for MapR Hadoop deployment.
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