---
sourceDocument: Brazil Workflow Data Fabric
sourceDocumentLink: https://www.servicenow.com/docs/r/integrate-applications
Release :
- brazil
ft:locale :
- en-US
ft:publication_title :
- Brazil Workflow Data Fabric
ft:clusterId :
- crint
bundleId :
- crint
workflow :
- Creator
---
# Create a Databricks connection
# Create a Databricks connection {#ariaid-title1}
Release version: Brazil
Updated September 10, 2026
 3 minutes to read
Establish a zero copy connection to the Databricks data analytics platform in Zero Copy Connector Hub.
## Before you begin
You can optimize queries to Databricks by enabling table statistics. Consult your data source admin to confirm whether table statistics are enabled in Databricks before enabling this option in Zero Copy Connector Hub.
Role required: df_connection_admin
## About this task
Work with your data source admin to create a connection to Databricks. For additional information about connecting to Databricks, refer to the [Databricks documentation](https://docs.databricks.com/aws/en/dev-tools/auth/oauth-m2m).
## Procedure
1. Navigate to the available primary connectors in Zero Copy Connector Hub in one of the following ways:
* Navigate to AllZero Copy Connector HubAvailable connectorsPrimary connectors.
* Navigate to AdminZero Copy Connector HubAvailable connectorsPrimary connectors.
{#create-databricks-connection-zcc__choices_n5p_vrt_k2c}
2. Find the Databricks connector and select Connect.
3. On the form, fill in the fields.
{#create-databricks-connection-zcc__table_kmx_fw1_2fc__entry__2}
| Field | Description |
|-|-|
| Name and description ||
| Connection label | Unique name for this connection. This helps in identifying the connection within your system. |
| Connection name | System-generated name based on the Connection label. This field cannot be modified once the connection is established. |
| Short description | Description of the connection explaining what it is about. |
| Connection attributes ||
| Catalog name | Catalog name used for organizing and locating data assets in Databricks. |
| Connection URL | JDBC URL to establish the connection. For example: jdbc:databricks://<host>:<port> |
| Warehouse or compute path | Databricks warehouse or compute path. For example: /sql/1.0/warehouses/ |
| Enable table statistics | Option to enable table statistics. Optimize SQL queries using table statistics by selecting this option. Enabling table statistics allows the system to use estimates of stored data such as row count, distinct values, and data size for enhanced query processing. Note: You must ensure that gathering table statistics is enabled in the data source before selecting this option. |
[Table 1. Databricks Connection form]
{#create-databricks-connection-zcc__table_kmx_fw1_2fc}
4. Configure the authentication method that you want to use with Databricks.
| Option | Description |
| Databricks Service Principal | Option to use Databricks as the OAuth provider. Select this option if you're using a Databricks service principal for authentication. 1. Enter the client ID issued by Databricks for authentication. 2. Enter the secret key associated with the client ID. {#create-databricks-connection-zcc__ol_nyz_fxg_b3c} |
| Azure Service Principal | Option to use Azure Entra ID as the OAuth provider. Select this option if you're using an Azure managed service principal for authentication. This option requires an established a trust relationship between Databricks and Azure Entra ID. 1. Enter the client ID issued by Azure for authentication. 2. Enter the Azure tenant ID where your Databricks application is registered. 3. Enter the secret key associated with the client ID. {#create-databricks-connection-zcc__ol_k5f_jxg_b3c} |
| Access Token | Option to use a pre-configured OAuth entity profile. Select this option if you created a record in the Application Registries \[oauth_entity\] table with a Databricks or IdP service principal for authentication. This option keeps credentials within the instance and uses the ServiceNow AI Platform OAuth framework for token lifecycle management. For details on creating an OAuth entity profile, see [Use a third-party OAuth provider](https://www.servicenow.com/docs/access?context=t_UseAThirdPartyOAuthProvider&version=brazil&pubname=brazil-api-reference&ft:locale=en-US). When configuring the profile, select Client Credentials as the grant type. If your OAuth provider requires scopes, add them on the OAuth Entity Scopes tab. Consult your data source or identity provider documentation for the required scope values. Select the OAuth entity profile for your Databricks or IdP service principal. Select the OAuth integration type that you want to use: * System: Use the selected OAuth entity profile for all users of this connection. This is the default option. * Personal: Require each user to authenticate individually with their own credentials before they can access Databricks data through this connection. Select Get OAuth Token to open the authentication flow in a new browser tab and sign in. Note: Each user can view, renew, or revoke their personal access token from the Personal Integrations Dashboard in the Zero Copy Connector Hub. If a user's token expires or is missing, an alert appears when that user tries to access data assets for this connection, with a link to sign in again. {#create-databricks-connection-zcc__ul_oauth_integration_type_db} |
|-|-|
{#create-databricks-connection-zcc__choicetable_h3q_4wg_b3c}
5. Select Connect.
## Result
A test connection is made to the external data source, verifying that the connection details are correct and the data source is accessible.
## What to do next
If the connection succeeds, configure data steward access on the Access Control tab. See [Manage access to an established connection using roles](https://www.servicenow.com/docs/kr8mlJMAdWNHxVz4wmb78w "Manage which data stewards can access an established connection and create data fabric tables.").
If the connection fails, verify the connection details with your data source administrator and try again.
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