opensearch-project/opensearch

★ 12,924JavaAudience · ops devopsComplexity · 4/5LicenseSetup · hard

Mindmap

mindmap
  root((opensearch))
    What it does
      Full-text search
      Log analytics
      Data indexing
    Tech stack
      Java
      Apache Lucene
    Use cases
      Product search
      Log monitoring
      Document archive
    Audience
      DevOps teams
      Backend engineers
    Setup
      Self-hosted
      Docker available
      Hosted option

mindmap root((opensearch)) What it does Full-text search Log analytics Data indexing Tech stack Java Apache Lucene Use cases Product search Log monitoring Document archive Audience DevOps teams Backend engineers Setup Self-hosted Docker available Hosted option

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Things people build with this

USE CASE 1

Add fast full-text search to a product catalog with millions of items.

USE CASE 2

Ingest and query billions of server log events for a monitoring or alerting dashboard.

USE CASE 3

Self-host an open-source alternative to Elasticsearch for a document archive search interface.

Tech stack

Java

Getting it running

Difficulty · hard Time to first run · 1h+

Complex distributed system requiring significant memory and disk, full documentation lives on the external project website, not in the repo.

Apache 2.0, use freely for any purpose including commercial, modify and distribute with attribution.

In plain English

OpenSearch is an open-source search and observability suite built for working with large volumes of unstructured data. Think of it as a system that takes raw, messy information and makes it fast to search, filter, and analyze. It is designed for enterprise use, meaning it is built to handle serious scale rather than small hobby projects. The project is written in Java and released under the Apache 2.0 license, which means anyone can use, modify, and distribute it freely. OpenSearch grew out of earlier Elasticsearch code that was licensed under Apache terms, and the project is now maintained by contributors under the OpenSearch Foundation, which is part of the Linux Foundation. If you are a non-technical person trying to understand what this is useful for: imagine you have a product catalog with millions of items, or a log file with billions of events from servers, or a document archive with thousands of PDFs. OpenSearch lets you index all of that data and then search through it in milliseconds, apply filters, and pull out insights. It is the kind of infrastructure layer that typically lives behind a search bar or a monitoring dashboard in a product. The README for this repository is minimal, mainly providing links to the project website, documentation, community forums, and a Slack workspace for support. It does not walk through installation or usage in detail here, as those live in the external documentation site. The codebase itself is large and written for developers who want to self-host or contribute to the engine. If you just want to use OpenSearch rather than build it yourself, the project website offers downloads and hosted options. If you want to contribute or understand how the internals work, there are guides for contributors and maintainers linked from the README.

Copy-paste prompts

Prompt 1

I want to run OpenSearch locally with Docker for development. Give me a docker-compose.yml that starts a single-node OpenSearch cluster with the dashboard UI.

Prompt 2

How do I index a collection of JSON documents into OpenSearch using the REST API, and then run a full-text search query against them?

Prompt 3

I'm migrating from Elasticsearch to OpenSearch. What are the key compatibility differences I need to know, and how do I reindex my existing data?

Prompt 4

Show me how to set up index lifecycle management in OpenSearch to automatically delete log indices older than 30 days.

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