Introduction
Data integration is crucial for modern analytics. SQL Server Integration Services (SSIS) and Azure Data Factory (ADF) are both powerful ETL tools, but they cater to different needs: SSIS is on-premises, while ADF is cloud-based.
Key Differences
- SSIS offers full control and rich transformation capabilities, but comes with maintenance overhead and high licensing costs.
- ADF provides a fully managed, scalable cloud solution with reduced costs and easy integration, though it may involve a learning curve and limited OS access.
Feature Comparison
| Feature | SSIS (On-Prem) | ADF (Cloud) |
|---|---|---|
| Deployment | On-prem / VM | Managed Azure IR |
| Maintenance | Manual | Fully managed |
| Scalability | Manual (VMs) | Elastic (scalable) |
| Cost Model | Fixed infrastructure | Pay-as-you-go |
Conclusion
Want to dive deeper into how these two platforms stack up?
👉 Read the full comparison with detailed examples here
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