MapR Updates Big Data Platform For NoSQL and Hadoop

MapR Technologies has announced an update of its Big Data platform that provides performance improvements for NoSQL and Hadoop applications. With the MapR M7 Edition, MapR says it has removed the trade-offs organizations face when looking to deploy a NoSQL solution.

M7 delivers over one million operations per second with a 10-node cluster, and can support up to one trillion tables across thousands of nodes, according to MapR. It will perform automatic region splits and self-tuning with no downtime required for any operation, including schema changes. The MapR M7 edition is available immediately.

“The number of enterprise-level deployments of Hadoop MapReduce is rising quickly, driven by a need to understand and potentially adopt this new business analytics platform for business applications,” said John Webster, principal analyst, Evaluator Group. “Responding to this demand, MapR delivers a distribution of Apache Hadoop that addresses many of the enterprise quality issues currently limiting its adoption in production data centers. With M7, HBase applications can access data directly without the redundancy of extra layers of communication yielding a single, scalable and more reliable data store that offers high performance and is easier to develop to and administer.”

MapR LucidWorks Search

MapR also announced the distribution of LucidWorks Search with the MapR platform for Apache Hadoop. This single platform features predictive analytics, full search and discovery and the ability to do advanced database operations.

“Using search and Big Data isn’t just about analyzing social media content and Web traffic,” said Ted Dunning, chief application architect, MapR Technologies.  “There is a wide array of new applications for combining fast Hadoop with real-time, ad hoc data accessibility to mine raw data and find useful patterns of behavior. With the MapR/LucidWorks solution, users gain a compelling alternative that is less time consuming and more unified without the need to convert, transfer or move data as required with other approaches.”

This product integration and bundling lets customers benefit from the added value that LucidWorks Search delivers in the areas of security, connectivity and user management for Apache Lucene/Solrthat users would otherwise have to develop from scratch using Solr alone. “LucidWorks and MapR share a common vision for enterprise-grade enhancements users need on top of open source software for rapid development, deployment, ease of use and production quality,” said Grant Ingersoll, LucidWorks CTO.

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About the Author

John Rath is a veteran IT professional and regular contributor at Data Center Knowledge. He has served many roles in the data center, including support, system administration, web development and facility management.

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