When to use Azure Logic Apps vs ADF

Azure Data Factory If a large volume of data has to be moved from a data lake or an enterprise data warehouse (EDW) to Azure. For big data analytics, you may need to import large amounts of data into Azure from several sources. It is critical to achieve optimal performance and scalability in each circumstance. Also, inside copy activity, you may consider boosting DTUs/Parallel copy choices, which can help you increase copy performance. Logic Apps When it comes to conducting repeating activities, modern data platform Logic Apps are fantastic. There are several connectors available, and it appears that the only limit to what you can accomplish with logic applications is your own imagination. The Event-Driven Architecture (EDA) paradigm involves the generation- Detection, consumption, and reaction of events. Users commonly need to activate pipelines based on storage account events, such as the arrival or deletion of a file in an Azure Blob Storage account, in data integration scenarios. Hence, Azure Data Factory would be a better option over Azure Logic Apps, but when it comes to repetitive tasks we could use Azure Logic Apps to orchestrate ETL via ADF. The decision of which to employ would be greatly influenced by the case at hand, and it would be worthwhile to explore combining ADF, Logic Apps, and other services such as Functions.