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Azure Data Factory vs. SQL Server Integration Services (SSIS) Azure Data Factory vs. SQL Server Integration Services (SSIS) Subtitle: A Comparison of Microsoft s Data Integration Tools www.visualpath.in +91-7032290546
Introduction Introduction Data integration is a key component of modern data engineering. Microsoft offers two powerful tools: Azure Data Factory (ADF) SQL Server Integration Services (SSIS) This presentation explores their key differences, use cases, and advantages. www.visualpath.in +91-7032290546
Overview of SSIS Overview of SSIS SSIS is an on-premises ETL tool provided with SQL Server. Designed for traditional data warehousing environments. Provides a GUI-based development environment in SQL Server Data Tools (SSDT). Supports advanced data flow transformations. www.visualpath.in +91-7032290546
Overview of Azure Data Factory Overview of Azure Data Factory ADF is a cloud-based ETL and ELT service. Part of the Azure ecosystem, designed for modern, scalable data workflows. Supports hybrid data integration (on-premises + cloud). Uses pipeline-based orchestration and integrates with many Azure services. www.visualpath.in +91-7032290546
Key Differences Key Differences Architecture Architecture SSIS runs on-premises or via IaaS (in VMs). ADF is fully managed, PaaS-based (Platform as a Service). ADF supports serverless data integration. SSIS requires maintenance of hardware and software. www.visualpath.in +91-7032290546
Development & Deployment Development & Deployment SSIS: Visual Studio-based design. Manual or scheduled deployment. ADF: Web-based UI or code (JSON/ARM templates). Seamless CI/CD with Azure DevOps. Git integration for version control. www.visualpath.in +91-7032290546
Integration Capabilities Integration Capabilities ADF: Native connectors for Azure services (Blob Storage, Synapse, etc.). Supports more cloud-based sources. SSIS: Rich transformation options, especially for complex legacy systems. Limited cloud support unless integrated with Azure-SSIS IR. www.visualpath.in +91-7032290546
When to Use What When to Use What Choose SSIS if: You are working with on-prem SQL Server. You have existing SSIS packages. Choose ADF if: You need a cloud-first solution. You're working with large-scale, modern data architectures. You require scalable, serverless orchestration. www.visualpath.in +91-7032290546
Conclusion Conclusion Both tools serve specific needs and can coexist. ADF is ideal for cloud-native and hybrid workflows. SSIS remains strong for on-prem or legacy ETL jobs. Azure-SSIS Integration Runtime allows migrating SSIS to the cloud for a hybrid approach. www.visualpath.in +91-7032290546
For More Information About Azure Data Engineering Address:- Flat no: 205, 2nd Floor, Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad-16 Ph. No: +91-998997107 www.visualpath.in online@visualpath.in www.visualpath.in +91-7032290546
Thank You www.visualpath.in www.visualpath.in +91-7032290546
