Elasticsearch

Use Elasticsearch, a distributed RESTful search engine, for searching and analyzing indexed data.

github.com/elastic/elasticsearch
Elasticsearch homepage screenshot

About Elasticsearch

Elasticsearch is a distributed search and analytics engine and data store. The project describes it as optimized for speed and relevance on production-scale workloads, and it is the foundation of Elastic's Stack platform. It can search large datasets in near real time, run vector searches, and integrate with generative AI applications. Documented use cases include retrieval augmented generation, vector search, full-text search, logs, metrics, application performance monitoring, and security logs. It is accessed through a REST API and programming language clients.

The simplest production route described is a managed deployment through Elasticsearch Service on Elastic Cloud, a third-party hosted service. Alternatively, the latest version can be downloaded from elastic.co and installed and managed directly. The local setup uses Docker and the start-local script. It is for development and testing only, and the instructions warn against using it for production. In that setup, HTTPS is disabled, Basic authentication is used, and Elasticsearch and Kibana are reachable only from localhost. The local setup includes a one-month trial license for all Elastic features, after which the license reverts to Free and open - Basic.

Key features

  • Near real-time search over large datasets
  • Vector search and integration with generative AI applications
  • Full-text search and retrieval augmented generation use cases
  • Analysis of logs, metrics, and security logs
  • Application performance monitoring use case
  • Managed deployment through Elasticsearch Service on Elastic Cloud
  • Local Docker setup with Elasticsearch and Kibana using a start-local script
Best for: Developers and teams that need to search and analyze indexed data, such as full-text, vector, or log data, and are comfortable running or managing an Elasticsearch deployment.
Good for
  • The project describes it as optimized for speed and relevance on production-scale workloads.
  • A managed deployment option is available through Elastic Cloud.
  • The local setup's trial license includes all Elastic features for one month.
Watch out for
  • The local Docker setup is for development and testing only and is not intended for production.
  • The local setup disables HTTPS and uses Basic authentication for Elasticsearch.
  • After the local trial period, the license reverts to Free and open - Basic.

Elasticsearch at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Elasticsearch FAQ

Can the local start-local setup be used in production?
No. The instructions state that they should not be used for production deployments and are intended for local development and testing only.
What is the simplest way to set up Elasticsearch?
The source describes creating a managed deployment with Elasticsearch Service on Elastic Cloud. Users who prefer to install and manage it themselves can download the latest version from elastic.co/downloads/elasticsearch.
What happens when the local trial license ends?
After the one-month trial period, the license reverts to Free and open - Basic.
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