STEP 1
Connect Bitbucket and Databricks
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
Bitbucket and Databricks Integration
Keep Bitbucket and Databricks in sync by integrating their events and actions. When developer tools events happen in Bitbucket, update the Databricks automatically - without any line of code in visual workflow builder.
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Learn about Bitbucket and Databricks
Detailed info you need to know about Bitbucket and Databricks integrations in WEXTL. Explore which modules apps support and how you connect them.
Bitbucket
Bitbucket Cloud REST 2.0 — repositories, pull requests, pipelines, commits, and webhooks. [5]
Databricks
Run Databricks jobs, clusters, SQL, files, Unity Catalog, and model serving from a workspace. [6]
How to connect Bitbucket to Databricks
Set up your Bitbucket and Databricks integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Bitbucket and Databricks nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between Bitbucket and Databricks. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Bitbucket and Databricks work in WEXTL?
WEXTL exposes actions and triggers for Bitbucket and Databricks that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Bitbucket triggersDatabricks actions
Bitbucket modules
- Approve CommitApproves a commit.
- Approve Pull RequestApproves a pull request.
- Compare CommitsReturns a diff between two commits.
- Create BranchCreates a branch.
- Create Build StatusCreates a build status for a commit.
- Create Commit CommentCreates a comment on a commit.
- Create Commit from FilesCreates a commit by uploading files.
- Create Environment VariableCreates a variable for a deployment environment.
- Create Pipeline ScheduleCreates a pipeline schedule.
- Create ProjectCreates a project in a workspace.
- Create Pull RequestCreates a new pull request.
- Create Pull Request CommentCreates a comment on a pull request.
- Create Pull Request TaskCreates a task on a pull request.
- Create RepositoryCreates a new repository.
- Create Repository VariableCreates a pipeline variable for a repository.
- Create TagCreates a tag.
- Decline Pull RequestDeclines a pull request.
- Delete BranchDeletes a branch.
- Delete Commit CommentDeletes a commit comment.
- Delete Download ArtifactDeletes a download artifact.
- Delete Environment VariableDeletes a deployment environment variable.
- Delete Pipeline ScheduleDeletes a pipeline schedule.
- Delete ProjectDeletes a project.
- Delete Pull Request CommentDeletes a pull request comment.
- Delete Pull Request TaskDeletes a pull request task.
- Delete RepositoryDeletes a repository.
- Delete Repository VariableDeletes a repository pipeline variable.
- Delete TagDeletes a tag.
- Fork RepositoryForks a repository.
- Get BranchReturns a single branch.
- Get Build StatusReturns a build status for a commit.
- Get CommitReturns a single commit.
- Get Commit CommentReturns a single commit comment.
- Get Commit DiffstatReturns diff stats between two commits.
- Get Commit PatchReturns a patch between two commits.
- Get Current UserReturns the current user.
- Get Download ArtifactReturns the contents of a download artifact.
- Get EnvironmentReturns a single deployment environment.
- Get File or DirectoryReturns file or directory contents.
- Get Merge BaseReturns the common ancestor of two commits.
- Get PipelineReturns a single pipeline.
- Get Pipeline ConfigReturns repository pipeline configuration.
- Get Pipeline ScheduleReturns a single pipeline schedule.
- Get Pipeline StepReturns a single pipeline step.
- Get Pipeline Step LogReturns the log file for a pipeline step.
- Get ProjectReturns a single project.
- Get Pull RequestReturns a single pull request.
- Get Pull Request CommentReturns a single pull request comment.
- Get Pull Request ConflictsReturns file conflicts for a pull request.
- Get Pull Request DiffReturns the diff for a pull request.
Databricks modules
- 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.
- 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.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with Bitbucket and Databricks integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting Bitbucket and Databricks.
Connect your Bitbucket and Databricks accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Bitbucket's "Watch Commits" fires, WEXTL can "Cancel All Runs" in Databricks. Bitbucket has 5 triggers (including Watch Commits, Watch Pipelines, and Watch Pull Requests); Databricks has 113 actions (including Cancel All Runs, Cancel Run, and Cancel SQL Statement). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Bitbucket-to-Databricks automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment Bitbucket (or Databricks) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your Bitbucket + Databricks automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the Bitbucket and Databricks integration.
- Bitbucket and Databricks integration source code, module specs and credentials implementation.
- Our Bitbucket and Databricks integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Bitbucket and Databricks — 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.
- Bitbucket integration information
- Databricks integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library