Integrate Bitbucket with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Cluster in Databricks when Pull Request Opens in Bitbucket
Create a Directory in Databricks when Pull Request Opens in Bitbucket
Delete a Job in Databricks when Pull Request Opens in Bitbucket
Create a Repo in Databricks when Pull Request Opens in Bitbucket
Delete Repo from Databricks when Pull Request Opens in Bitbucket
Start from a real workflow other teams are already running.
Bitbucket
When this happens...
Pull Request Opens
Pull Request Updated
Pull Request Merges
Pull Request Approval Changes
Repository Created
Code Is Pushed
Pipeline State Changed
Repository Is Forked
Pull Request Decline
Pull Request Comment Added
Pull Request Comment Is Deleted
Commit Comment Created
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Create Cluster in Databricks when Pull Request Opens in Bitbucket
Use this flowCreate a Directory in Databricks when Pull Request Opens in Bitbucket
Use this flowDelete a Job in Databricks when Pull Request Opens in Bitbucket
Use this flowCreate a Repo in Databricks when Pull Request Opens in Bitbucket
Use this flowDelete Repo from Databricks when Pull Request Opens in Bitbucket
Use this flowCreate Cluster in Databricks when Pull Request Updated in Bitbucket
Use this flowCreate a Directory in Databricks when Pull Request Updated in Bitbucket
Use this flowDelete a Job in Databricks when Pull Request Updated in Bitbucket
Use this flowCreate a Repo in Databricks when Pull Request Updated in Bitbucket
Use this flowDelete Repo from Databricks when Pull Request Updated in Bitbucket
Use this flowEverything you can automate between Bitbucket and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when pull request opens
Runs when pull request updated
Runs when pull request merges
Runs when PR approval changes
Runs when repository created
Runs when Code Is Pushed
Action is the task that follows automatically within your Bitbucket integrations.
Create a deployment environment (e.g., staging or production) for a repository and optionally set its order/priority.
Propose merging changes from one branch into another.
Post a comment on a pull request to give feedback, ask questions, or update your team.
Merges an existing pull request.
Approve a pull request
Declines a pull request.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Bitbucket is a web-based version control repository hosting service, primarily for source code and development projects. It offers both commercial plans and free accounts, providing a platform for developers to manage their code, collaborate on projects, and track changes.
Learn moreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
Learn moreSign up for a free viaSocket account, then authorize both your Bitbucket and Databricks accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Bitbucket and Databricks as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Databricks. No coding required.
Yes. You can set up a workflow where Bitbucket triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Bitbucket. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Bitbucket and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Bitbucket and Databricks integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.