Choosing Between Azure Data Factory and Synapse Workspaces for Data Orchestration

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In this video, I explore the key differences between Azure Data Factory (ADF) and Azure Synapse Workspaces, helping you decide which service is the best fit for your data orchestration and processing needs. As Synapse Workspaces is still in public preview, I'll also discuss the current gaps and expected enhancements as the product moves towards general availability (GA).

Join me as I break down the scenarios where each service shines, the features currently missing in Synapse Workspaces, and when it might make more sense to stick with Azure Data Factory.

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🕒 Table of Contents:
- **00:00 - Introduction and Overview**
- Introduction to the topic and the importance of choosing between Azure Data Factory and Synapse Workspaces.
- **00:38 - Synapse Workspaces Overview**
- Discussion on the public preview status of Synapse Workspaces and expected enhancements as it moves to GA.
- **01:15 - Core Differences Between ADF and Synapse Workspaces**
- Exploration of the decision points, focusing on your organization's bigger picture goals.
- **01:50 - Features Missing in Synapse Workspaces**
- Comparison of features, including missing GitHub and Azure DevOps integration, CI/CD pipelines, and other key capabilities in ADF.
- **02:26 - Future Enhancements in Synapse Workspaces**
- Insight into the anticipated features in Synapse Workspaces and the potential for easier migration from ADF.
- **03:04 - Scenarios for Choosing ADF Over Synapse Workspaces**
- Examples of when Azure Data Factory might be more appropriate than Synapse Workspaces, such as simple copy operations or specific ETL tasks.
- **03:41 - Overview of Synapse Workspaces Capabilities**
- Detailed look at the comprehensive features in Synapse Workspaces, including data management, compute clusters, and more.
- **04:17 - Planning for the Future**
- Emphasis on the importance of planning based on current needs while remaining adaptable to future changes.
- **04:54 - Closing Remarks and Viewer Engagement**
- Final thoughts, encouragement to ask questions, and gratitude for viewer support.

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**🎯 Key Takeaways:**
1. **Choosing the Right Tool**: Understand the differences between Azure Data Factory and Synapse Workspaces and which is better suited for your data orchestration needs.
2. **Future Enhancements**: Get insights into the expected features in Synapse Workspaces as it moves towards general availability.
3. **Use Case Scenarios**: Learn about specific scenarios where Azure Data Factory might still be the preferred choice over Synapse Workspaces.

**💬 Join the Discussion:**
Have you used both Azure Data Factory and Synapse Workspaces? Share your experiences or ask any questions in the comments below! Let’s discuss which tool works best for different data orchestration scenarios.

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[swapnilamundra]

Hi, I would like to know how synapse handles source table schema and stored proc changes. I am running everything on prem in MSBI ecosystem ssis sql server and pbi and we frequently have this problem of fragile ETL pipelines because of source changes

[danielpinzon]

Great vídeo! What about the cost diference? For small and medium companies, Synapse seems more expensive.