Yesterday, Elasticsearch, the company that provides commercial support for the open source Elasticsearch search engine, announced the release of version 1.0. Coming almost exactly four years after the first release, version 1.0 offers major upgrades and represents the second major announcement by Elasticsearch, the company, in the first quarter of 2014. The first was Marvel, a new system for monitoring and analyzing the performance of Elasticsearch clusters.
Elasticsearch was originally spun off from the Compass project, an open source Java search engine framework, back in 2004, in an effort to create a highly scalable search solution. Built on top of the well-known and popular Lucene library from the Apache Software Foundation, Elasticsearch adds such features as multitenancy, sharding, faceted search, and a JSON-based REST API. This feature set puts it in competition with the Solr project as a complete search solution built on top of Lucene.