Ingest content with Elastic connectors

A connector is a type of Elastic integration that syncs content from an original data source to an Elasticsearch index. Connectors enable you to create searchable, read-only replicas of your data sources.

Connectors extract the original files, records, or objects; and transforms them into Elasticsearch documents.

Many connectors are available out-of-the-box on Elastic Cloud. You can also access the source code for these (and additional) connectors, and run them on your own infrastructure.

Managed connectors are available directly within your Elastic Cloud deployment, as a managed service. No additional infrastructure is required.

Please note that Elastic managed connectors were previously known as "native connectors".

Refer to Elastic managed connectors for details on how to configure and use Elastic managed connectors.

Self-managed connectors enable you to run connectors locally on your own infrastructure. This means you can try out new connectors before they are available natively within Elastic Cloud, and/or customize existing connectors.

Please note that self-managed connectors were previously known as "connector clients".

Refer to Self-managed connectors for details on how to deploy self-managed connectors.

All Elastic connectors are built using our Python connector framework. The source code is available in the {connectors-python}[elastic/connectors] repository on GitHub.

The connector framework is available for developers to customize existing self-managed connectors or build their own connectors. Refer to Build and customize connectors for details.

The following diagram provides a high-level overview of the Elastic connectors offering and some key facts.

This table provides an overview of our available connectors, their current support status, and the features they support.

The columns provide specific information about each connector: