Why Should You Migrate Databases From SQL Server to Snowflake

Snowflake is a cloud-based data warehousing platform, offering users all the advanced capabilities of a cloud environment. We will now go through the features of this system to learn more about what organizations are preferring now to move databases from SQL Server to Snowflake.  

Benefits of Moving Databases From SQL Server to Snowflake

  • Snowflake offers high computing power, an essential requirement for modern-day data-driven businesses, irrespective of the scale of operations. On this platform. There is no lag in database speeds, even when multiple users simultaneously execute intricate queries. 


  • Users get unlimited storage space on Snowflake by paying only for the quantum of resources used. Additional storage required can be downloaded in minutes, with payment made for that portion only. This is a very cost-effective attribute, as in traditional database systems like SQL Server, flat license fees are paid for data storage even if it is left unused. This feature is a huge motive for organizations to move databases from SQL Server to Snowflake.  
  • Unlike other database systems, Snowflake offers computing and storage in different silos, enabling businesses to accurately estimate the expense incurred on each of them. Usage can be tweaked to keep costs under control. 
  • Data in any form can be input into Snowflake – unstructured, semi-structured, structured. In SQL Server, only data that is compatible with it can be entered. Snowflake gives comprehensive support to JSON, Avro, XML, and Parquet data. 
  • On Snowflake, users do not have to define indexes before clustering data for computing and encoding of columns, since it is a cloud-based platform. However, clustering keys must be manually used for co-locating table data for very large tables.

These are some reasons for moving data from SQL Server to Snowflake.     

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