Elasticsearch is a distributed, open-source search and analytics engine built on Apache Lucene. It stores data as JSON documents and uses inverted indices for lightning-fast full-text search . Commonly used for app/website search , log analysis, business intelligence, and security analytics. Core component of the ELK Stack ( Elasticsearch , Logstash, Kibana) with additional support from Beats. Powers real-time analytics across massive datasets using a scalable, distributed architecture. In 2025 ... Elasticsearch is an open-source, distributed search and analytics engine designed for handling large volumes of data with near real-time search capabilities. Part of the Elastic Stack, it stores data in JSON format, supports multi-tenancy, and offers powerful full-text search functionalities. Elasticsearch is a distributed search and analytics engine, scalable data store and vector database optimized for speed and relevance on production-scale workloads. Elasticsearch is the foundation of Elastic ’s open Stack platform. Search in near real-time over massive datasets, perform vector searches, integrate with generative AI applications, and much more. Elasticsearch is a source-available search engine. It is based on Apache Lucene (an open-source search engine) and provides a distributed, multitenant -capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java, [2] .NET [3] (C#), PHP, [4] Python, [5] Ruby [6] and many other languages. [7] According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine. [8]
