Databricks Integration

Run Databricks jobs, clusters, SQL, files, Unity Catalog, and model serving from a workspace. Automate Databricks deploys, issues, and webhook events across engineering workflows. When Watch Job Runs fires, automatically update documentation, notify a team, or continue with Get Catalog.

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Supported triggers and actions for Databricks integration

Triggers can detect changes in Databricks and run actions that can create, search or modify data inside Databricks automatically [3] — exactly how you set them.

Watch Job RunsTriggers when a Databricks job run starts.
Get CatalogReturns a catalog.
Get ClusterReturns a single cluster.
Get Conversation MessageReturns a Genie conversation message.
Get File MetadataReturns metadata for a volume file.
Get FunctionReturns a function.
Get Genie SpaceReturns a Genie space.
Get JobReturns a single job.
Get Job RunReturns a single job run.
Get Job Run OutputReturns output for a job run.
Get Query ResultsReturns SQL results for a Genie message.
Get RepoReturns a single repo.
Get SchemaReturns a schema.
Get Secret ACLReturns one secret ACL.
Get Serving EndpointReturns a serving endpoint.
Get SQL StatementReturns status and results for a SQL statement.
Get SQL Statement Result ChunkReturns one result chunk for a SQL statement.
Get SQL WarehouseReturns a single SQL warehouse.
Get TableReturns a table.
Get Vector Search IndexReturns a vector search index.
Get VolumeReturns a volume.
Get Workspace Object StatusReturns status for a workspace object.
List Availability ZonesRetrieves availability zones for clusters.
List CatalogsRetrieves Unity Catalog catalogs.
List Cluster EventsRetrieves events for a cluster.
List ClustersRetrieves a list of clusters.
List DirectoryRetrieves contents of a volume directory.
List FunctionsRetrieves functions in a schema.
List Genie SpacesRetrieves Genie spaces.
List Job RunsRetrieves a list of job runs.
List JobsRetrieves a list of jobs.
List Node TypesRetrieves available cluster node types.
List ReposRetrieves a list of repos.
List SchemasRetrieves schemas in a catalog.
List Secret ACLsRetrieves ACLs for a secret scope.
List Secret ScopesRetrieves secret scopes.
List SecretsRetrieves secret metadata in a scope.
List Serving EndpointsRetrieves model serving endpoints.
List Spark VersionsRetrieves available Spark runtime versions.
List SQL WarehousesRetrieves a list of SQL warehouses.
List TablesRetrieves tables in a schema.
List Vector Search EndpointsRetrieves vector search endpoints.
List Vector Search IndexesRetrieves vector search indexes.
List VolumesRetrieves volumes in a schema.
List Workspace ObjectsRetrieves objects in a workspace folder.
Cancel All RunsCancels all runs of a job.
Cancel RunCancels a job run.
Cancel SQL StatementCancels a SQL statement.
Change Cluster OwnerChanges the owner of a cluster.
Create CatalogCreates a catalog.
Create ClusterCreates a new cluster.
Create Conversation MessageSends a message in a Genie conversation.
Create DirectoryCreates a volume directory.
Create FunctionCreates a function.
Create JobCreates a new job.
Create RepoCreates a new repo.
Create SchemaCreates a schema.
Create Secret ScopeCreates a secret scope.
Create Serving EndpointCreates a serving endpoint.
Create SQL WarehouseCreates a SQL warehouse.
Create Vector Search IndexCreates a vector search index.
Create VolumeCreates a volume.
Create Workspace DirectoryCreates a workspace directory.
Delete CatalogDeletes a catalog.
Delete Cluster PermanentlyPermanently deletes a cluster.
Delete DirectoryDeletes an empty volume directory.
Delete FileDeletes a file from a Unity Catalog volume.
Delete FunctionDeletes a function.
Delete JobDeletes a job.
Delete RepoDeletes a repo.
Delete RunDeletes a job run.
Delete SchemaDeletes a schema.
Delete SecretDeletes a secret.
Delete Secret ACLDeletes a secret ACL.
Delete Secret ScopeDeletes a secret scope.
Delete Serving EndpointDeletes a serving endpoint.
Delete SQL WarehouseDeletes a SQL warehouse.
Delete VolumeDeletes a volume.
Delete Workspace ObjectDeletes a workspace object.
Download FileDownloads a file from a Unity Catalog volume.
Edit ClusterEdits an existing cluster.
Edit SQL WarehouseEdits a SQL warehouse.
Execute Message SQL QueryExecutes the SQL query on a Genie message attachment.
Execute SQL StatementExecutes a SQL statement on a warehouse.
Export RunExports a job run.
Export Workspace ObjectExports a workspace object.
Import Workspace ObjectImports a notebook or file into the workspace.
Make an API CallPerforms an arbitrary authorized API call.
Pin ClusterPins a cluster.
Put SecretPuts a secret in a scope.
Put Secret ACLPuts a secret ACL.
Query Serving EndpointQueries a model serving endpoint.
Query Vector Search IndexQueries a vector search index.
Repair RunRepairs a failed job run.
Reset JobReplaces all settings of a job.
Resize ClusterResizes a cluster.
Restart ClusterRestarts a cluster.
Run NowStarts a run of an existing job.
Start ClusterStarts a terminated cluster.
Start ConversationStarts a Genie conversation.
Start SQL WarehouseStarts a SQL warehouse.
Stop SQL WarehouseStops a SQL warehouse.
Submit RunSubmits a one-time run.
Terminate ClusterTerminates a cluster.
Unpin ClusterUnpins a cluster.
Update CatalogUpdates a catalog.
Update ClusterUpdates cluster attributes.
Update FunctionUpdates a function.
Update JobUpdates an existing job.
Update RepoUpdates an existing repo.
Update SchemaUpdates a schema.
Update Serving Endpoint ConfigUpdates a serving endpoint configuration.
Update VolumeUpdates a volume.
Upload FileUploads a file to a Unity Catalog volume.

How to integrate Databricks in automation workflow?

3 simple steps to make your Databricks connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.

STEP 1

Select Databricks in workflow

Pick Databricks app in the workflow builder [4] - just one click to select the app.

STEP 2

Connect Databricks

When prompted, authorize access to Databricks in WEXTL once. Databricks credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].

WEXTL wants to integrate with your Databricks account. Approve?

STEP 3

Build a workflow

Build your workflow with Databricks yourself or with WEXTL® AI Builder. Connect Databricks to any available integrations [5], or use HTTP node to go beyond them.

Databricks

How Databricks connects and integrates with WEXTL

Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Databricks app is called in workflows. That allows your developer tools automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Databricks supports.

Full Databricks API documentation

The following table illustrates what fields Databricks integration require during authorization flow inside our workflow builder [4].

Demonstration of Databricks connection step inside WEXTL Workflow Builder [4].

Field	Type	Help
Workspace URLRequired	text	Workspace origin including protocol, no trailing slash and no /api. Example: https://dbc-a1b2345c-d6e7.cloud.databricks.com. Azure looks like https://adb-xxxx.azuredatabricks.net.
API KeyRequired	password	Settings → Developer → Access tokens. Sent as Authorization: Bearer. Treat it like a password.

Connect Databricks to popular apps on WEXTL

Enter a name of the other app you want to sync with Databricks below. Click on selected app to explore integration options with Databricks. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.

Example automation with Databricks integration

Select Watch Job Runs trigger from Databricks - this will be a starting point in your automation. Whenever event happens in Databricks, workflow will start [7] from Watch Job Runs node.

Search for Create Job, connect it as the next step of integration sequence. You can use filters between Watch Job Runs and Create Job, so only important data pass from Watch Job Runs to the next step. WEXTL gives you full control over the process of Databricks automation. All parts of workflow are visible on the canvas [4].

Databricks on WEXTL has 114 modules for creating developer tools automations. Explore Databricks documentation for more.

Databricks

Watch Job Runs

Bitbucket

Performs action

Bitbucket

Triggers

Databricks

Create Job

Demonstration of how visual Databricks automation [6] looks in WEXTL.

Frequently asked questions

Common questions about automating Databricks in your workflows.

Databricks has 1 trigger, including "Watch Job Runs". Triggers are start points of the workflow, and automations may start from them.

Integration has 113 actions, including "Get Catalog", "Get Cluster", and "Get Conversation Message", and more. Refer to our Databricks Documentation for detailed inputs and outputs.

No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].

Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.

The Databricks integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Databricks official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.

Absolutely. Where Databricks provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Databricks or any other service sends event to webhook URL.

WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Databricks inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Databricks modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.

References

List of sources used to gather information about the Databricks integration.

Databricks integration source code, module specs and credentials implementation.
Internal Databricks integration documentation, structured input and output parameters, scopes, and authentication methods.
Official Databricks vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
WEXTL® Apps Library
WEXTL® Databricks App Documentation
WEXTL® Workflow Scheduler
WEXTL® HTTP node documentation

Databricks Integration

Supported triggers and actions for Databricks integration