Data Factory's Data Flow cost structure

Hi Renan Nascimento,

Thanks for reaching out to Microsoft Q&A.

• ADF Data Flows use Azure Integration Runtime, which can be of two types: General Purpose and Memory Optimized. You will be charged for the compute resources allocated to the integration runtime which will be measured in Data Flow Compute Hours.
• The cost is calculated based on the duration the integration runtime is active. The charge starts when the compute resources are allocated and stops when the data flow activity completes. The charges are for per Data Flow execution & this includes the compute time for transforming data within your Data Flow.
• The cost is based on the vCore-hours consumed by the Data Flow cluster, not the number of pipelines using it. If two pipelines run simultaneously on the same Data Flow cluster, you would be charged for the total vCore-hours consumed, not double the amount.

To sum it up....

Shared Resources: Costs do not double simply because two pipelines run simultaneously. The charge is based on the compute resources consumed.

Scaling Out: If the existing cluster cannot handle the load and additional clusters are allocated, costs will increase accordingly.

https://azure.microsoft.com/en-us/pricing/details/data-factory/data-pipeline/

Let me know if you have any other questions.

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