MapR Technologies Expands Big Data Search with Elasticsearch
April 02, 2014
MapR Technologies, Inc., the top-ranked distribution for Apache Hadoop, and Elasticsearch Inc., the popular open source search and analytics solution, today announced the integration of Elasticsearch’s real-time search and analytics capability with the MapR Distribution for Apache Hadoop, enabling customers to search and store tremendous amounts of information in real time.
With the growing need for businesses to store, search and analyze huge volumes of unstructured data from multiple sources, big data technologies such as Hadoop are necessary for businesses to extract critical insights. The MapR Distribution helps customers realize the benefits of Hadoop at a lower cost of ownership than other distributions while enabling the widest number of use cases. With the combination of MapR and Elasticsearch, developers gain a scalable, distributed architecture to quickly perform search and discovery across tremendous amounts of information. The combined solution is already in use at leading enterprise companies including Solutionary, the leading pure-play managed security service provider, and several Fortune 100 financial services institutions.
“Starting with the Elasticsearch-Hadoop project announced six months ago and underscored by this partnership with MapR, we are helping Hadoop users enhance their workflows with a full-blown search engine that scales no matter the amount of data,” said Shay Banon, Elasticsearch creator, founder, and CTO. “With Elasticsearch, developers and data-hungry businesses now have a way to ask better questions of their data and get clearer answers, significantly faster, in return.”
“MapR customers are embracing the enterprise data hub architecture, where they consolidate many terabytes of unstructured information from across their organization,” said Jack Norris, chief marketing officer, MapR Technologies. “Elasticsearch and MapR together give customers production-ready technologies that enable real-time access for retrieving and analyzing big data stored in Hadoop.”
With nearly 500,000 downloads every month, Elasticsearch has quickly become one of the top open source search solutions in the world. Elasticsearch’s real-time analytics, logging, and search features combined with Hadoop make for unlimited possibilities for anyone working with vast volumes of data.
Elasticsearch is on a mission to make massive amounts of data usable for businesses everywhere by delivering the world’s most advanced search and analytics engine available. With a laser focus on achieving the best user experience imaginable, the Elasticsearch ELK stack – comprised of Elasticsearch, Logstash, and Kibana – has become one of the most popular and rapidly growing open source solutions in the market. Used by thousands of enterprises in virtually every industry today, Elasticsearch, Inc. provides production support, development support and training for the ELK stack as well as the commercially available native monitoring solution, Marvel, that gives Elasticsearch users full transparency into the health of their systems.
Elasticsearch, Inc. was founded in 2012 by the people behind the Elasticsearch and Apache Lucene open source projects. Since its initial release, Elasticsearch has more than six million cumulative downloads. Elasticsearch, Inc. is backed by Benchmark Capital and Index Ventures. Elasticsearch has offices in Amsterdam and Los Altos.
About MapR Technologies
MapR Technologies is a visionary Silicon Valley software company and creator of the next-generation data platform for AI and analytics, with the scale and reliability required by enterprise-grade, mission-critical deployments. The MapR Data Platform delivers the power of dataware to accelerate data-driven innovation. Forward leaning companies such as Cisco, Philips, and Société Générale, are able to create new data-driven solutions to outperform the competition. Learn more: mapr.com.
MapR is a registered trademark of MapR Technologies, Inc. in the United States and other countries. Other names and brands may be the property of others.