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2025, 2026
lastupdated 2026-04-01
keywords Databricks
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Microsoft Azure Databricks connection

{: #azure_databricks}

Databricks is a big data analytics tool based on Apache Spark. {: #shortdesc}

Supported versions

{: #supp_version_azure_databricks}

Databricks SQL engine version 4.0.0. For compatibility, use JDBC driver version 2.6.25 or later.

Limitations

{: #limitations_databricks}

Only structured relational databases are supported.

Create a connection to Databricks

{: #create_databricks}

To access your data in Microsoft Azure Databricks, create a connection to it.

Enter these connection details and select an authentication method.

Connection details

{: #connection_databricks}

  • Connection name

  • Hostname or IP address of the database

  • Port number

  • HTTP path: Path of the endpoint for which the server is configured in HTTP transport mode.

  • Keepalive interval: Interval in seconds between keepalive validation queries. Set to a value greater than 0 to enable keepalive.

Credentials

{: #credentials_databricks}

Choose an authentication method:

Prerequisite for Entra ID authentication - Microsoft Entra ID is a cloud-based identity and access management service. To obtain connection values for the Entra ID authentication method, sign in to the Microsoft Azure portal{: external}. For more information about Microsoft Entra ID, see What is Microsoft Entra ID? and Get Microsoft Entra ID tokens for service principals. {: note}

  • Entra ID client secret credentials

    • Tenant ID: The client ID for authorizing access to Microsoft Azure.

    • Client ID of service principal: The client ID of service prinicpal for authorizing access to Microsoft Azure.

    • Client secret of service principal: The authentication key that is associated with the client ID for authorizing access to Microsoft Azure.

  • Entra ID token

  • Service principal credentials

  • Username and password