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With OpenSearch, you can perform the following use cases:
Additional features and plugins:
OpenSearch has several features and plugins to help index, secure, monitor, and analyze your data. Most OpenSearch plugins have corresponding OpenSearch Dashboards plugins that provide a convenient, unified user interface.
- Anomaly detection - Identify atypical data and receive automatic notifications
- KNN - Find “nearest neighbors” in your vector data
- Performance Analyzer - Monitor and optimize your cluster
- SQL - Use SQL or a piped processing language to query your data
- Index State Management - Automate index operations
- ML Commons plugin - Train and execute machine-learning models
- Asynchronous search - Run search requests in the background
- Cross-cluster replication - Replicate your data across multiple OpenSearch clusters
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 with your own certificates, authentication method, users, and passwords.
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.
OpenSearch includes certain Apache-licensed Elasticsearch code from Elasticsearch B.V. and other source code. Elasticsearch B.V. is not the source of that other source code. ELASTICSEARCH is a registered trademark of Elasticsearch B.V.