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  1. Elasticsearch - Wikipedia

    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 …

  2. Elasticsearch: The open source platform for high-performance search ...

    Elasticsearch: The open source platform for high-performance search, context engineering, and AI Store structured, unstructured, and vector data. Build AI applications and agents with relevance, real-time …

  3. Download Elasticsearch | Elastic

    Download Elasticsearch or the complete Elastic Stack (formerly ELK stack) for free and start searching and analyzing in minutes with Elastic.

  4. What is Elastic Search and Why is It Used - GeeksforGeeks

    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 …

  5. GitHub - elastic/elasticsearch: Free and Open Source, Distributed ...

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

  6. Elastic Docs

    Reference Elastic APIs Browse the API docs for Elasticsearch, Kibana, Elastic Cloud, and more.

  7. What is Elasticsearch? - Elasticsearch Engine Explained - AWS

    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 …

  8. Elasticsearch: What it is, How it works, and it’s usage

    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.

  9. Elasticsearch features list | Elastic

    Elasticsearch is the most powerful free and open search engine available. Explore an extensive list of its robust features that show why. Features like full-text search, advanced analytics, geospatial...

  10. Get started with Elasticsearch | Elastic Docs

    Your next steps will be to choose a method to write queries and interact with Elasticsearch. You can pick a programming language client that matches your application and choose which query languages …