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OpenSearch documentation
This site contains the technical documentation for OpenSearch, the Apache 2.0-licensed search, analytics, and visualization suite with advanced security, alerting, SQL support, automated index management, deep performance analysis, and more.
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Why use OpenSearch?
OpenSearch is well-suited to the following use cases:
- Log analytics
- Real-time application monitoring
- Clickstream analytics
- Search backend
| Component | Purpose |
|---|---|
| OpenSearch | Data store and search engine |
| OpenSearch Dashboards | Search frontend and visualizations |
| Security | Authentication and access control for your cluster |
| Alerting | Receive notifications when your data meets certain conditions |
| SQL | Use SQL or a piped processing language to query your data |
| Index State Management | Automate index operations |
| KNN | Find “nearest neighbors” in your vector data |
| Performance Analyzer | Monitor and optimize your cluster |
| Anomaly Detection | Identify atypical data and receive automatic notifications |
| Asynchronous Search | Run search requests in the background |
You can install OpenSearch plugins individually or use the all-in-one packages. Most of these OpenSearch plugins have corresponding OpenSearch Dashboards plugins that provide a convenient, unified user interface.
For specifics around the project, see the FAQ.
Docker quickstart
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Install and start Docker Desktop.
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Run the following commands:
docker pull opensearchproject/opensearch:{{site.opensearch_version}} docker run -p 9200:9200 -p 9600:9600 -e "discovery.type=single-node" opensearchproject/opensearch:{{site.opensearch_version}} -
In a new terminal session, run:
curl -XGET --insecure https://localhost:9200 -u admin:admin
To learn more, see Install OpenSearch.
Looking for the Javadoc?
Get involved
OpenSearch is supported by Amazon Web Services. All components are available under the Apache License, Version 2.0 on GitHub.
The project welcomes GitHub issues, bug fixes, features, plugins, documentation---anything at all. To get involved, see Contributing on the OpenSearch website.