MapR Technologies Expands Big Data Search with Elasticsearch
Los Altos, Calif. and Amsterdam, The Netherlands – April 3, 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.
About MapR Technologies
MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified big data platform. MapR is used by more than 500 customers across financial services, retail, media, healthcare, manufacturing, telecommunications and government organizations as well as by leading Fortune 100 and Web 2.0 companies. Amazon, Cisco, Google and HP are part of the broad MapR partner ecosystem. Investors include Lightspeed Venture Partners, Mayfield Fund, NEA, and Redpoint Ventures. MapR is based in San Jose, CA. Connect with MapR on Facebook, LinkedIn, and Twitter.
About Elasticsearch, Inc.
Elasticsearch is on a mission to make massive amounts of data usable for businesses by delivering the world’s most advanced search and analytics engine. With a laser focus on achieving the best user experience imaginable, the Elasticsearch ELK stack – comprised of Elasticsearch, Logstash, and Kibana – has become a rapidly growing open source solution in the market. Used by thousands of enterprises in virtually every industry today, Elasticsearch Inc. provides production support, development support, and training for the full ELK stack.
Elasticsearch, Inc. was founded in 2012 by the people behind the Elasticsearch and Apache Lucene open source projects. Since its initial release, the ELK stack has more than 10 million cumulative downloads. The company is backed by Benchmark Capital, Index Ventures, and NEA with headquarters in Amsterdam and Los Altos, California, and offices around the world.
To learn more, visit www.elasticsearch.com.