Best Azure Data Engineer Training in Bangalore | Azure Data

1
Azure Data Factory vs. SQL Server Integration
Services (SSIS)

• SubtitleA Comparison of Microsofts 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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3
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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Thank You
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