What integration runtime is used in Azure Data Factory when moving data between Azure Data Lake Gen2 and Azure Synapse Analytics?

The integration runtime used in Azure Data Factory to facilitate the movement of data between Azure Data Lake Gen2 and Azure Synapse Analytics is the Azure integration runtime. This is because when both source and destination are cloud-based services within the Azure ecosystem, the Azure integration runtime is optimized for these scenarios.

The Azure integration runtime allows you to efficiently move data, perform data transformation, and utilize the native capabilities of both Azure Data Lake Gen2 and Azure Synapse Analytics without needing to configure additional resources. It is designed to provide a serverless experience, leveraging Azure's built-in resources to handle data movement and orchestration tasks seamlessly.

In contrast, other options like Azure-SSIS and self-hosted integration runtimes are more suited for specific scenarios. Azure-SSIS is primarily used for running SQL Server Integration Services (SSIS) packages, typically involving scenarios where you have legacy data transformation tasks. A self-hosted integration runtime is used when the data sources are on-premises or not directly accessible from Azure, which is not the case when dealing with Azure-to-Azure data operations.

Thus, for a scenario specifically involving Azure Data Lake Gen2 and Azure Synapse Analytics, the Azure integration runtime is the most suitable choice, enabling a straightforward and efficient data