Azure SQL vs. Fabric SQL Database: Pros, Cons, and Use Cases
Centida BI & Analytics consulting
Bridging strategy and technology for finance and operations excellence
Microsoft has introduced the SQL Database in Microsoft Fabric. In this article, we compare the traditional Azure SQL Database with the new SQL Database in Fabric, highlighting their main differences, pros and cons, and use cases to help you make an informed decision.
Key Differences Between Azure SQL Database and SQL Database in Fabric
Here's a table highlighting the main differences:
Pros and Cons of Each Database Type
Below are the main pros and cons of the Azure SQL Database.
Below are the main pros and cons of the SQL Database in Microsoft Fabric.
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When to Choose Azure SQL Database
Scenario: A financial services company relies on complex data models in Power BI that connect directly to an Azure SQL Database. They require fine-grained control over database performance and security settings to comply with stringent regulatory requirements. The organization has invested in performance tuning and uses advanced features like columnstore indexes and in-memory OLTP to optimize query speeds.
Why Azure SQL Database is a better choice?
When to Choose SQL Database in Microsoft Fabric
Scenario: A retail chain wants to allow their data analysts to create real-time Power BI reports based on transactional sales data. They prefer minimal administrative overhead and aim to reduce the time from data generation to actionable insights. The team is also interested in using other Microsoft Fabric services, like notebooks and AI capabilities.
Why SQL Database in Fabric is a better choice?
Final Thoughts
The SQL Database in Microsoft Fabric offers a new approach to data management by unifying operational and analytical workloads.
Understanding the differences and benefits of each database option allows you to make the best choice for your data projects. Feel free to share your experiences or ask questions in the comments.
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