Azure Data Factory Compute Optimized data flows will be retired on 31 August 2024

Because Azure Data Factory data flows now provide better performance with General Purpose data flows, **we’ll retire Compute Optimized data flows on** **31 August 2024**. **Please transition to using General Purpose data flows by that date.** We encourage you to make the switch early to gain the performance benefits of General Purpose data flows. In addition to current features you already use, here’s a quick comparison between Compute Optimized data flows and General Purpose data flows: | Compute Optimized data flows | General Purpose data flows | | ------------------------------ | ------------------------------------------- | | Low memory/core ratio | Improved memory/core ratio | | Suboptimal for ETL performance | Optimized for data flow pipeline executions | | Generally used for testing | Best option for most production workloads | From now through 31 August 2024, you can continue to use your existing Compute Optimized data flows. After 31 August 2024, existing workflows will not be supported. **Required action** To avoid service disruption, please remove your existing Compute Optimized data flows before 31 August 2024\. [Follow the steps in this document](https://aka.ms/dataflowcoretire) to create a new Azure Integration Runtime in Azure Data Factory and associate your existing data flows to the new General Purpose Azure Integration Runtime. Visit the [Azure Data Factory pricing page](https://azure.microsoft.com/en-us/pricing/details/data-factory/data-pipeline/) for the latest updated pricing available for General Purpose and Memory Optimized data flows. **Help and support** If you have questions, get answers from community experts in [Microsoft Q&A](https://aka.ms/qna-azure-datafactory-data-flows). If you have a support plan and you need technical help, please create a [support request](https://portal.azure.com/#blade/Microsoft%5FAzure%5FSupport/HelpAndSupportBlade/newsupportrequest). * Azure Data Factory * Retirements * [ Azure Data Factory](https://azure.microsoft.com/en-gb/products/data-factory/)