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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.
