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
- November 3, 2026: Stars 78,198 → 78,472, latest release v9.5.6 (November 2, 2026).
- October 6, 2026: Stars 77,919 → 78,198, latest release v9.5.5 (October 6, 2026).
- 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).
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
docker pull docker.elastic.co/elasticsearch/elasticsearch:9.5.0brew install elastic/tap/elasticsearch-fullRunning it
docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:9.5.0Getting started
The simplest way to get started with Elasticsearch is to create a managed deployment through Elastic Cloud. Alternatively, if you want to manage your own installation, you can visit the download page on the official website or review the Docker-based starter scripts available for local development environments.
Related dictionary terms
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. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.