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MapR's New Hadoop Distribution Promises No-Risk Updgrade

Thor Olavsrud | Feb. 18, 2014
MapR's latest Hadoop distribution includes support for Hadoop 2.2 with YARN, but is also backward compatible with the MapReduce 1.x scheduler, promising organizations a risk-free upgrade path to the latest Hadoop architecture.

Whereas Cloudera's and Hortonworks' Hadoop distributions are entirely open source, MapR Technologies has stripped out the HDFS layer of Hadoop and replaced it with its own custom and proprietary data layer that supports the HDFS APIs to address what it considers limitations in the Hadoop architecture like the capability to perform snapshots and disaster recovery capabilities.

"It's compatible with all the standard enterprise applications and tools. Any package designed for Hadoop runs on MapR with no changes or recompiling," Norris says. "We didn't just look at the community roadmap and try to jump ahead and do features six months before the community tried to do them. We looked at the limitations we saw and architected for those. It's really hard for re-architecture to happen in an open source community."

MapR Sandbox Provides Free VM Installation and Tutorials
MapR also announced the availability of MapR Sandbox for Hadoop, a virtualized environment containing MapR's distribution intended to help users get exploring and experimenting with Hadoop in less than five minutes. The Sandbox is a complete and fully configured virtual machine installation of the MapR distribution with point-and-click tutorials for developers, analysts and administrators.

"Organisations face a shortage of Hadoop developers and data scientists, and without useful and easily accessible training tools, productive Hadoop developers will continue to be in short supply," says Tomer Shiran, vice president of product management at MapR Technologies. "With the MapR Sandbox, developers have all the tools they need in a convenient and free package to get up to speed on Hadoop quickly."

MapR Integrates with HP Vertica Analytics Platform
Finally, the company announced the early access release of the new HP Vertica Analytics Platform on MapR, providing a high-performance, interactive SQL-on-Hadoop solution that tightly integrates HP Vertica's analytic platform with MapR's Hadoop distribution. The company notes that it provides 100 percent ANSI SQL-compliance with advanced interactive analytic capabilities as well as business intelligence (BI) and ETL tool support.

"Organisations embracing Hadoop have been struggling to empower large groups of business analysts who require sophisticated SQL and BI tools to do their jobs, but feel handcuffed when using incomplete, SQL-like approaches," says John Schroeder, CEO and cofounder of MapR Technologies. "Providing HP Vertica's very high-performance and rich SQL and built-in analytic functions on MapR's best-of-breed platform for Hadoop sets business analysts free to do faster, interactive analytics from data harnessed by Hadoop."


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