Forum Discussion
Why use SQL Server on Fabric?
Hi Anonymous,
Thank you for reaching out to the Microsoft Fabric Community forum.SQL Server on Microsoft Fabric integrates data from SQL databases and other sources into one platform, ideal for businesses analyzing data across systems. Unlike Azure SQL, which focuses on cloud database management, SQL Server on Fabric works seamlessly with other Fabric tools for simplified workflows and advanced analytics.
Fabric’s unified data lake enables SQL Server to query large unstructured and relational datasets without data duplication, streamlining workflows. SQL Server is essential in Fabric's Lakehouse model, which integrates data lakes and warehouses, reducing complexity and costs.
Microsoft Fabric offers valuable features for organizations seeking a unified data and analytics solution.
Here's the relevant documentation from Microsoft Learn you can refer to:
Fabric decision guide - choose an operational database - Microsoft Fabric | Microsoft Learn
Features comparison: Azure SQL Database and SQL database (preview) - Microsoft Fabric | Microsoft Learn
SQL database Overview (Preview) - Microsoft Fabric | Microsoft LearnIf this post clears your doubt, please give us Kudos and consider marking Accepting it as a solution to guide other members in finding it more easily.
Best regards,
Sahasra.
Although there are below differences between azure sql and sql server on Fabric, but the main reason to use sql server on Fabric is to bring data from sql and join it with data from other sources and bring it in one platform and then use it for analytics.
https://learn.microsoft.com/en-us/fabric/database/sql/feature-comparison-sql-database-fabric
Hi Anonymous ,
Previously all focus was on analytical solutions. Now Sql server in MS Fabric is brought to drive insights from application, operational and transactional database. Now MS Fabric is capable of handling both transactional and analytical data warehouse.
And major advantage is with SQL server in place we can join data from multiple data sources, build relational queries nicely and drive analytics.
If this post helps, please accept as solution. Kudos are appreciated.🙂
Thanks,
Pallavi
