
Search and analytics engine for logs, applications and vector data
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Teams that need to find things in large volumes of logs, documents and application data reach for ElasticSearch. Wikipedia, GitHub, Netflix and Uber are among the companies listed as users. Built on Apache Lucene, ElasticSearch offers near-real-time search, analysis of both structured and unstructured data, and machine learning features. It is part of the Elastic Stack, often called ELK, so log analytics, application search, security analytics and observability can run on one platform. Vector search is available for AI and retrieval-augmented generation (RAG) applications, which lets the same engine serve semantic queries alongside keyword search.
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