Here are key aspects and features of Azure SSIS:

1. Cloud-Native Integration: Azure SSIS is designed to work seamlessly with Azure services and data sources. It allows you to integrate data from various Azure sources such as Azure SQL Database, Azure Blob Storage, and Azure Data Lake Storage.

2. Integration Runtimes: Azure SSIS supports two types of integration runtimes: Azure-SSIS Integration Runtime (IR) and Managed SSIS IR. The Azure-SSIS IR is designed for cloud-based execution, while the Managed SSIS IR allows you to run SSIS packages on Azure virtual machines.

3. SSISDB Catalog: Azure SSIS includes an SSISDB catalog where you can store, manage, and run SSIS packages. This catalog provides versioning, auditing, and execution history for your packages.

4. Visual Studio Integration: You can use SQL Server Data Tools (SSDT) in Visual Studio to design and develop SSIS packages for Azure SSIS. It provides a familiar development environment for ETL developers.

5. Azure Data Factory Integration: Azure SSIS can be integrated with Azure Data Factory to create data pipelines that include SSIS packages as activities. This allows you to orchestrate and schedule your ETL workflows in Azure Data Factory.

6. Scalability: Azure SSIS can scale out to meet the demands of your ETL workloads. You can add or remove nodes as needed to achieve parallel processing and improve performance.

7. Monitoring and Logging: Azure SSIS provides monitoring and logging capabilities to track the execution of SSIS packages. You can view execution reports and troubleshoot issues.

8. Data Transformation: SSIS packages can perform data transformations, data cleansing, and data enrichment as part of ETL processes. Azure SSIS supports various data transformation tasks and components.

9. Connectivity: You can connect to a wide range of data sources and destinations, including relational databases, flat files, cloud storage, and more.

10. Security: Azure SSIS supports security features such as encryption, Azure AD integration, and role-based access control (RBAC) to protect your ETL workflows and data.

11. Cost Management: Azure SSIS pricing is based on the number of SSIS units and the number of executed packages, allowing you to control costs based on your usage.