Elasticsearch is the leading distributed, RESTful, open source search and analytics engine designed for speed, horizontal scalability, reliability, and easy management.

Elasticsearch is developed alongside the data collection and log -parsing engine Logstash, the analytics and visualization platform Kibana, and the collection of lightweight data shippers called Beats.

Jul 23, 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 …

Elasticsearch is a distributed search and analytics engine, scalable data store and vector database optimized for speed and relevance on production-scale workloads.

Since its release in 2010, Elasticsearch has quickly become the most popular search engine and is commonly used for log analytics, full-text search, security intelligence, business analytics, and …

Elasticsearch has undergone a remarkable transformation from a simple keyword search engine to a sophisticated AI-powered search platform that combines traditional lexical search with modern vector …

Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack. Logstash and Beats facilitate collecting, aggregating, and enriching your data and storing it in Elasticsearch.

Feb 12, 2026 · Elasticsearch: The Complete Guide for 2026 Published February 12, 2026 · 28 min read Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It stores JSON …

Apr 11, 2023 · Elasticsearch is an open-source, distributed search and analytics engine designed to solve complex search and data analysis problems at scale.

2 days ago · Learn how Elasticsearch shards work, including primary and replica shards, sizing guidelines, common failure scenarios, and best practices to optimize cluster performance and …