Stephen E. Arnold: Open Source Big Data Tool Combines MapR with Elasticsearch

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Stephen E. Arnold
Stephen E. Arnold

MapR Integrates Elasticsearch into Platform

Writer Christopher Tozzi opens his Var Guy article, “MapR, Elasticsearch Partner on Open Source Big Data Search,” with a good question: With so many Hadoop distributions out there, what makes one stand out? MapR hopes an integration with Elasticsearch will help them with that. The move brings to MapR, as the companies put it, “a scalable, distributed architecture to quickly perform search and discovery across tremendous amounts of information.” They report that several high-profile clients are already using the integrated platform.

Tozzi concludes with an interesting observation:

“From the channel perspective, the most important part of this story is about the open source Hadoop Big Data world becoming an even more diverse ecosystem where solutions depend on collaboration between a variety of independent parties. Companies such as MapR have been repackaging the core Hadoop code and distributing it in value-added, enterprise-ready form for some time, but Elasticsearch integration into MapR is a sign that Hadoop distributions also need to incorporate other open source Big Data technologies, which they do not build themselves, to maximize usability for the enterprise.”

It will be interesting to see how that need plays out throughout the field. MapR is headquartered in San Jose, California, and was launched in 2009. Formed in 2012, Elasticsearch is based in Amsterdam. Both Hadoop-happy companies maintain offices around the world, and each proudly counts some hefty organizations among their customers.

Cynthia Murrell, May 07, 2014

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