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Create and manage datasets for ES|QL Data Federation

Serverless Unavailable

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Unavailable

    This functionality is not available in Elastic Cloud Serverless.

Stack Experimental 9.5 …

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Experimental in 9.5

    This functionality is experimental and is not ready for production usage. Experimental features may change or be removed at any time. Elastic will work to fix any issues, but experimental features are not subject to the support SLA of official GA features. Specific Support terms apply.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Warning

This feature is experimental. It is not intended for production use and there are no guarantees around performance, scale, or stability in this release.

Create and manage ES|QL Data Federation datasets in Kibana or with the Elasticsearch API. Before creating a dataset, connect a data source and review how to define a dataset. Creating a dataset doesn't check that the data source can read its resource, so also grant read access to the data in your cloud provider.

You can manage datasets in two ways:

Kibana UI
Add datasets with a step-by-step wizard, and view, edit, and delete them from the Datasets tab.
API
Create, get, list, and delete datasets with the /_query/dataset endpoint.

With audit logging enabled, creating, updating, and deleting datasets generates security_config_change events. Refer to put_dataset and delete_dataset.