Christopher Tozzi, Contributing Editor

October 23, 2012

2 Min Read
Big Data Vendor MapR Debuts Hadoop Enhancement Product

We’ve said it before, and we’ll say it again: The success of open source Big Data technologies depends on channel partners willing to integrate them into value-added, user-friendly tools. In the latest example of that trend, MapR has announced a new product, M7, that combines Hadoop and NoSQL in a robust and simple platform. Here’s the scoop.

MapR, which develops value-added versions of the open source Apache Hadoop distributed computing platform, already has a number of significant partners in the open source space and beyond. The company has worked closely with open source Big Data vendor Talend. Meanwhile, Amazon.com has endorsed MapR technologies for its Elastic MapReduce servers, and Google has also made use of its solutions for distributed computing.

The company’s latest move doesn’t quite involve a new partnership, but the release of M7 does promise to expand MapR’s opportunities throughout the channel by gaining it new exposure in the market for value-added Big Data technologies.

The major selling point of the new product, according to MapR, is the reliability and performance enhancements it brings to Big Data operations in the enterprise. Regarding the HBase structured storage system for Hadoop, for instance, MapR promises:

One of the core benefits of M7 is making HBase enterprise grade with instant recovery from hardware and software failures, disaster recovery and full data protection with snapshots and mirroring. Even with multiple hardware or software outages and errors, applications will continue running without any administrator actions required.

M7 increases the performance of HBase to unprecedented levels. First, by eliminating the need for compactions, M7 provides uniform and consistent performance. Second, by utilizing innovative data structures that minimize the read- and write-amplification factor, inserts and updates are much faster. M7 also supports in-memory columns, providing more options to increase database performance.

M7 also improves HBase scalability and administration, according to MapR.

The product, released Oct. 23, 2012, is currently available through a beta program.

Big Data vendors and channel partners should take notice. This release from MapR is only the most recent reminder that, despite the great power of freely distributed open source technologies such as Hadoop are — or, perhaps, precisely because they are so powerful and complex — deploying them in enterprise environments becomes much more realistic with the assistance of value-added platforms that provide better ease of use and peace of mind. Plenty of opportunity remains to integrate in this niche.

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About the Author(s)

Christopher Tozzi

Contributing Editor

Christopher Tozzi started covering the channel for The VAR Guy on a freelance basis in 2008, with an emphasis on open source, Linux, virtualization, SDN, containers, data storage and related topics. He also teaches history at a major university in Washington, D.C. He occasionally combines these interests by writing about the history of software. His book on this topic, “For Fun and Profit: A History of the Free and Open Source Software Revolution,” is forthcoming with MIT Press.

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