Forum Discussion
ADF suitable as interface replacement?
- 1 year ago
Hi PPDynMGR ,
Azure Data Factory is good for data pipelines, especially for batch ETL processes. However, when it comes to operational, near-real-time, bidirectional syncs that APIs :
-
ADF supports limited event-driven or low-latency integration unless paired with services like Azure Functions.
-
It’s primarily batch-oriented—great for overnight or periodic loads, but less ideal for real-time sync requirements between your ERP and Dataverse environments.
Comparing it to data flows-
Power Platform Dataflows are even more suited to analytical or read-only data ingestion:-
They don’t natively support incremental or real-time updates as robustly as ADF or a proper integration framework.
-
Costs can escalate if you scale out with multiple refreshes, complex transformations, or premium connectors.
-
Limited transformation and orchestration options compared to ADF or custom-built API integrations.
For more details about licenses you can visit -
https://learn.microsoft.com/en-us/power-query/dataflows/what-licenses-do-you-need-in-order-to-use-dataflows
Hope this helps! -
- 1 year ago
Given that we're in the Fabric Data Factory forum, we would highly encourage you to try it over Azure Data Factory.
For questions specific to Azure Data Factory, we encourage you to create that topic / question in the community forum for Azure Data Factory:
https://techcommunity.microsoft.com/category/azuredatabases/discussions/azuredatafactory
Hi PPDynMGR ,
Azure Data Factory is good for data pipelines, especially for batch ETL processes. However, when it comes to operational, near-real-time, bidirectional syncs that APIs :
-
ADF supports limited event-driven or low-latency integration unless paired with services like Azure Functions.
-
It’s primarily batch-oriented—great for overnight or periodic loads, but less ideal for real-time sync requirements between your ERP and Dataverse environments.
Comparing it to data flows-
Power Platform Dataflows are even more suited to analytical or read-only data ingestion:
-
They don’t natively support incremental or real-time updates as robustly as ADF or a proper integration framework.
-
Costs can escalate if you scale out with multiple refreshes, complex transformations, or premium connectors.
-
Limited transformation and orchestration options compared to ADF or custom-built API integrations.
For more details about licenses you can visit -
https://learn.microsoft.com/en-us/power-query/dataflows/what-licenses-do-you-need-in-order-to-use-dataflows
Hope this helps!