Connect SAP Analytics Cloud and Bitbucket
Integrate SAP Analytics Cloud with Bitbucket to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
List Data Models from SAP Analytics Cloud when Pull Request Opens in Bitbucket
Export Model Data from SAP Analytics Cloud when Pull Request Opens in Bitbucket
Search Stories in SAP Analytics Cloud when Pull Request Opens in Bitbucket
Get Story By ID from SAP Analytics Cloud when Pull Request Opens in Bitbucket
Create Data Import Job in SAP Analytics Cloud when Pull Request Opens in Bitbucket
Popular SAP Analytics Cloud + Bitbucket flows
Start from a real workflow other teams are already running.
Choose a trigger
SAP Analytics Cloud
When this happens...
- Request a new Trigger for SAP Analytics Cloud
Choose an action
Bitbucket
Automatically do this!
Create Deployment Environment
Create Pull Request
Add Comment to Pull Request
Merge Pull Request
Approve Pull Request
Decline Pull Request
Create Branch or Tag
Create Project in Workspace
Create a snippet comment
Create Repository
Update Pull Request
Merge Pull Request
Create Task on Pull Request
Create Build Status for Commit
Delete Branch or Tag
Create Branch Restriction Rule
Update Branch Restriction Rule
Delete Branch Restriction Rule
Delete Environment
Update Repository
Update Project Settings
Get Pull Request File Changes
Get Pull Request Diff And Diffstat
List Branches and Tags
List Workspace Projects and Check Pull Request Template
List Pull Requests
List Merged Pull Requests by Branch and Date Range
List Pull Requests
List Data Models from SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowExport Model Data from SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowSearch Stories in SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowGet Story By ID from SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowCreate Data Import Job in SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowUpload and validate fact data to SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowStart Data Import Job in SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowCheck Data Import Job Status in SAP Analytics Cloud when Pull Request Opens in Bitbucket
Use this flowList Data Models from SAP Analytics Cloud when Pull Request Updated in Bitbucket
Use this flowExport Model Data from SAP Analytics Cloud when Pull Request Updated in Bitbucket
Use this flowSupported Triggers & Actions
Everything you can automate between SAP Analytics Cloud and Bitbucket.
When this happensTriggers
A trigger is an event that starts a workflow.
Pull Request Opens
Runs when pull request opens
Pull Request Updated
Runs when pull request updated
Pull Request Merges
Runs when pull request merges
Pull Request Approval Changes
Runs when PR approval changes
Repository Created
Runs when repository created
Code Is Pushed
Runs when Code Is Pushed
Do thisActions
Action is the task that follows automatically within your SAP Analytics Cloud integrations.
List Data Models
List data models in your SAP Analytics Cloud tenant.
Export Model Data
Export fact, master, or aggregated data from a specific model.
Search Stories
List stories and analytic applications in your SAP Analytics Cloud account.
Get Story By ID
Retrieve details of a specific story using its Story ID.
Create Data Import Job
Create a data import job for a model and return the Job ID needed to upload data.
Upload and validate fact data
Upload fact data to an existing import job, check it against the model, and return any row-level validation errors. If all rows pass validation, the job is marked ready to run.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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From idea to automation.
AI will build it for you
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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About SAP Analytics Cloud
SAP Analytics Cloud is a comprehensive cloud-based analytics solution that combines business intelligence, planning, and predictive analytics. It enables organizations to make data-driven decisions by providing real-time insights and interactive visualizations. With SAP Analytics Cloud, users can connect to various data sources, create dashboards, and collaborate on analytics projects, all within a single platform.
Learn moreSimilar apps
About Bitbucket
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 moreSimilar apps
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your SAP Analytics Cloud and Bitbucket 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 SAP Analytics Cloud and Bitbucket 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 Bitbucket. No coding required.
Yes. You can set up a workflow where SAP Analytics Cloud triggers actions in Bitbucket, and a separate workflow where Bitbucket triggers actions in SAP Analytics Cloud. 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 SAP Analytics Cloud and Bitbucket. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire SAP Analytics Cloud and Bitbucket integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
