Traditional SSIS to Azure Data Factory (ADF) Migration Guide
Cloud-Based ETL: Azure Data Factory (ADF)
Although SSIS (SQL Server Integration Services), which we have relied on for years and runs on in-house servers (On-Premise), is very powerful and stable in local networks; it has started to become cumbersome in companies that need Cloud flexibility and the growth of Big Data.
When companies want to add a new API source, they have to write custom .NET scripts for SSIS or buy third-party add-ons. This is exactly where Microsoft's modern, cloud-based data orchestration solution Azure Data Factory (ADF) comes into play.
Why Should You Migrate to Data Factory?
1. Serverless Architecture and Cost (Pay-as-you-go)
A server running SSIS consumes electricity 24/7, generates licensing costs, and needs to be cooled, even if it is not processing at night. With ADF, server management (Infrastructure) is completely eliminated. You only pay for the seconds you move data (pipeline runs) or the processing power (vCore) you consume.
2. 100+ Native Connectors
Connecting to sources like Salesforce, SAP, Oracle, or Snowflake in SSIS requires serious Driver and licensing effort. ADF, on the other hand, offers native connectors that can seamlessly connect to over 100 systems. You can start extracting data in minutes.
3. Scalability and Data Flow
You can now perform complex data transformations that you used to do in SSIS on ADF's visual drag-and-drop interface, the Data Flow screen. Behind the scenes, ADF translates these transformations into Apache Spark clusters and processes millions of rows in parallel in seconds.
How Does the Migration Process Work?
You do not need to throw away your existing hundreds of SSIS packages. Thanks to the SSIS Integration Runtime (IR) feature within Azure Data Factory, you can upload your existing .dtsx packages directly to the cloud and continue running them without modification (Lift and Shift).
DVision Data Engineers safely move your legacy SSIS packages to Azure, modernizing the maintenance costs of your corporate data processes and reducing them by 50%. Contact our expert team to prepare your architecture for the next generation Data Lakehouse vision.
