Connectors

Databases & Data Warehouses

Databricks

Data and AI platform: jobs, clusters, SQL warehouses, and notebook runs
Databricks documentationAPI checked August 18, 2026
Signs in with
Connection details
Runs on
Cloud or On-Prem Worker
Operations
6
Ready-made triggers
0

Connect Databricks

  1. In Neblex open Connect › Connections and click New Connection.
  2. Search for Databricks and give the connection a clear name.
  3. Fill in the fields. Secret values are encrypted and never shown again.
  4. Click Test, then Create Connection.
If the system is only reachable inside your network, choose an On-Prem Worker under Test from and run the flow on that Worker. See On-Prem Workers.
FieldWhat to enter
Workspace hostRequirede.g. adb-1234567890.12.azuredatabricks.net or dbc-abc123.cloud.databricks.com (no scheme).
Personal access tokenOptionalSecretUse this or the OAuth client fields below, but not both.
OAuth client idOptionalThe service principal application id for workspace OAuth M2M authentication.
OAuth client secretOptionalSecretThe service principal OAuth secret. Use this together with OAuth client id instead of a personal access token.
SQL warehouse idRequiredFrom the warehouse's Connection details tab.
Default catalogOptionalOptional default catalog for every statement.
Default schemaOptionalOptional default schema for every statement.

Use it in a flow

  1. Open a flow, open the node library and search for Databricks.
  2. Drag it onto the canvas and choose an Operation and your connection.
  3. Map the operation's fields from earlier steps, or click Map with Matt.
  4. Use Test this step to see what it returns, then save.

To start a flow from Databricks without a ready-made trigger: a Poll for changes trigger on Databricks with your own query passes on new or changed records.

Operations

6 operations in 1 groups. Each one is a step you can add to a flow.

SQL6
Execute SQLqueryExecute one arbitrary Databricks SQL statement with native :name parameters.
Get server timeserverTimeReturn the current SQL warehouse timestamp.
Get server versionserverVersionReturn the Databricks SQL runtime version.
List table columnslistColumnsList every visible column matching a table name, including catalog and schema identity.
List tableslistTablesList the tables and views visible in the current catalog.
Test SQL warehousepingRun a minimal statement and return ok=1.