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Discover · GitHub · Elasticsearch↑ +91 today

Search big data quickly

Developed with Java, Elasticsearch is a distributed and open source search engine that allows fast search and analysis on large data sets. Thanks to its RESTful architecture, it supports real-time indexing and querying of data.

Updates

  • September 16, 2026: Stars 77,890 → 77,919, latest release v9.5.4 (September 15, 2026).
  • September 4, 2026: Stars 77,846 → 77,890, latest release v9.5.3 (September 3, 2026).
  • August 20, 2026: Stars 77,837 → 77,846, latest release v9.5.2 (August 20, 2026).
  • August 12, 2026: Stars 77,787 → 77,837, latest release v9.5.1 (August 11, 2026).

What you get

  • Fast search and analysis of large data sets
  • Integration with vector search and AI applications
  • Real-time data indexing and querying

Installation

Pull the Docker image
docker pull docker.elastic.co/elasticsearch/elasticsearch:9.5.0
macOS (Homebrew)
brew install elastic/tap/elasticsearch-full

Running it

Launch with Docker in single node mode
docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:9.5.0

Getting started

  • Official source →

Related dictionary terms

DistributedArtificial Intelligence
Who it is forIt is for software developers and data engineers who want to develop fast search, log analysis and vector-based search solutions on large-scale data.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-04: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.