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.
Why use OpenSearch?
OpenSearch is well-suited to the following use cases:
- Log analytics
- Real-time application monitoring
- Clickstream analytics
- Search backend
|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|
Most OpenSearch plugins have corresponding OpenSearch Dashboards plugins that provide a convenient, unified user interface.
For specifics around the project, see the FAQ.
- Install and start Docker Desktop.
Run the following commands:
docker pull opensearchproject/opensearch:1.0.1 docker run -p 9200:9200 -p 9600:9600 -e "discovery.type=single-node" opensearchproject/opensearch:1.0.1
In a new terminal session, run:
curl -XGET --insecure https://localhost:9200 -u admin:admin
The secure path forward
OpenSearch includes a demo configuration so that you can get up and running quickly, but before using OpenSearch in a production environment, you must configure the security plugin manually: your own certificates, your own authentication method, your own users, and your own passwords.
Looking for the Javadoc?
The project welcomes GitHub issues, bug fixes, features, plugins, documentation—anything at all. To get involved, see Contributing on the OpenSearch website.