If you haven’t already, check out Arun Ulag’s hero blog “FabCon and SQLCon 2026: Unifying databases and Fabric on a single, complete platform” for a complete look at all of our FabCon and SQLCon announcements across both Fabric and our database offerings.
As more organizations standardize Microsoft Fabric for end-to-end analytics, upgrading existing Azure Data Factory (ADF) workloads is a key step in modernization.
To make this transition simpler and more predictable, we’re introducing a new built-in migration experience that helps you assess, plan, and migrate ADF pipelines to Fabric Data Factory in a few simple steps.
What’s new
The new migration experience is designed to help you understand migration readiness before moving any workloads.Capabilities:
- Assess pipeline readiness directly in Azure Data Factory.
- Understand compatibility gaps at the pipeline and activity level.
- Migrate supported pipelines into a Fabric workspace.
- Plan next steps for items that need updates or are coming soon.
How the migration experience works
Before you start, ensure you have:- An existing Azure Data Factory with pipelines.
- Access to a Microsoft Fabric tenant.
- A Fabric workspace where pipelines will migrate.
- Run an assessment
Select Migrate to Fabric (Preview), then choose Get started to evaluate pipelines and activities for migration readiness.
Figure: Assess your Azure Data Factory for migration.
2. Review assessment results
Each pipeline is categorized as Ready, needs review, Coming soon, or Unsupported. You can also export a CSV report to support offline review and remediation planning.
Screenshot_showing_migration_assessment_results_for_the_Azure_Data_Factory_chose
Figure: View Assessment results.
3. Mount your Azure Data Factory to Fabric
After reviewing the assessment, select Next to mount your Azure Data Factory to a Fabric workspace and continue the migration flow in Fabric.
Screenshot_showing_Fabric_workspace_selection_dropdown
Figure: Mount your Data Factory to Fabric.
Confirmation_message_showing_successful_mounting_of_the_chosen_Azure_Data_Factor
Figure: Showing Successful mounting to Fabric.
Once successfully mounted, continue next steps in Fabric.
Migrate pipelines into Fabric Data Factory
Now continue the migration steps from Fabric UX by selecting Migrate to Fabric (Preview) button. Choose the pipelines you want to migrate and map ADF linked services to Fabric connections. You can either select existing connections or create new ones using the modern get‑data experience, then select Confirm.
Screenshot_showing_the_entry_point_button_for_Migration_in_Fabric
Figure: Begin migration from Fabric.
Control what you’d like to migrate by selecting the pipelines for migration
Screenshot_showing_Pipeline_selection_option_before_migrating
Figure: Start Migration in Fabric.
Screenshot_showimg_Linked_Services_to_Fabric_Connections_mapping
Figure: Map Azure Data Factory Linked Services to Fabric Connections.
Pipelines migrate safely, with triggers disabled by default, so you remain in full control of execution.
Post-migration
Once pipelines are migrated, we recommend the following steps:- Validate connections and credentials.
- Update Global parameters using Fabric Variable Libraries.
- Run end to end tests to confirm behavior.
- Reenable triggers as needed.
Additional resources
Assess your Azure Data Factory and Synapse pipelines for migration to Fabric - Azure Data Factory | Microsoft LearnDifferences between Data Factory in Fabric and Azure - Microsoft Fabric | Microsoft Learn
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