Pricing example: Copy data from AWS S3 to Azure Blob storage hourly
APPLIES TO: 
Azure Data Factory 
Azure Synapse Analytics
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In this scenario, you want to copy data from AWS S3 to Azure Blob storage on an hourly schedule for 8 hours per day, for 30 days.
The prices used in this example below are hypothetical and aren't intended to imply exact actual pricing. Read/write and monitoring costs aren't shown since they're typically negligible and won't impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
Refer to the Azure Pricing Calculator for more specific scenarios and to estimate your future costs to use the service.
Configuration
To accomplish the scenario, you need to create a pipeline with the following items:
I'll copy data from AWS S3 to Azure Blob storage, and this will move 10 GB of data from S3 to blob storage. I estimate it will run for 2-3 hours, and I plan to set DIU as Auto.
A schedule trigger to execute the pipeline every hour for 8 hours every day. When you want to run a pipeline, you can either trigger it immediately or schedule it. In addition to the pipeline itself, each trigger instance counts as a single Activity run.
Costs estimation
| Operations | Types and Units |
|---|---|
| Run Pipeline | 2 Activity runs per execution (1 for the trigger to run, 1 for activity to run) = 480 Activity runs, rounded up since the calculator only allows increments of 1000. |
| Copy Data Assumption: DIU hours per execution | 0.5 hours * 4 Azure Integration Runtime (default DIU setting = 4) For more information on data integration units and optimizing copy performance, see this article |
| Total execution hours: 8 executions per day for 30 days | 240 executions * 2 DIU/run = 480 DIUs |
Pricing calculator example
Total scenario pricing for 30 days: $122.00
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