MapR Turns to LucidWorks for Smarter Big Data Search + Discovery
MapR is consciously growing its presence in the open-source community. A few weeks ago the company announced that it’s bundling the free version of its flagship product with Ubuntu, and this week it revealed a new partnership with LucidWorks.
MapR integrated the firm’s open-source search software into its Hadoop distribution to provide customers with a set of advanced querying and data mining capabilities. LucidWorks’ solution is a reworked version of Lucene/Solr, a Java-based enterprise search platform distributed under the Apache license.
LucidWorks Search comes with all the features of the vanilla version, plus monitoring, encryption, authentication and access control. Also included are a number of connectors, indexing and querying capabilities that are not available with the standard Lucene/Solr distribution.
“Integrating search capabilities into Hadoop is an important milestone for the industry and represents tremendous opportunity for customers to find new insight and derive value from Big Data,” said Ben Woo, managing director, Neuralytix. “This is an enormous step forward especially in time-sensitive processes such as fraud detection where Big Data must be searched as it streams into the enterprise.”
The integration with LucidWorks is only one of the notable developments from MapR this week. The company also launched its M7 Edition, a new Hadoop distribution that ships with a re-architected version of HBase.
MapR touts that a ten-node M7 cluster can deliver over one million operations per second and support up to a trillion tables, whereas the open-source version of HBase can only store several hundred per deployment. Additional features include greater availability, instant recovery, and the fact M7 runs on the single data layer as the Hadoop file system. This design choice eliminates redundancy between the software layer and the raw data.
photo credit: Kara Allyson via photopin cc
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