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                     Azure Data Factory vs. SQL Server Integration Services (SSIS)
Subtitle:
A Comparison of Microsoft’s Data Integration Tools
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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.
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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.
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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.
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Key Differences – 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.
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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.
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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.
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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.
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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.
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