MS Fabric - Snowflake - AWS - Databricks

The multi-cluster shared data architecture in Snowflake combines the benefits of both Shared-Disk and Shared-Nothing architectures.

• Shared-Disk Architecture: Each compute node shares the same storage device, allowing for fast data retrieval but limiting scalability and performance. 1
• Shared-Nothing Architecture: Each node stores a portion of the entire data set locally, enabling massive parallel processing (MPP) and improving performance and scalability. 2
• Snowflake's Approach: Snowflake's architecture is a hybrid, utilizing a central data repository accessible from all compute nodes while allowing each node to process queries locally, thus maintaining data integrity and performance. 2
• Key Features: Snowflake supports unlimited concurrency, automatic scaling, and multi-cluster deployment, making it a flexible and efficient solution for data management. 2
• Performance: The architecture is designed to handle large data volumes with speed and efficiency, ensuring that queries are executed quickly and reliably. 2
  For more detailed information, you can refer to the sources:(https://docs.snowflake.com/en/data-management/warehouses/multi-cluster-warehouses),(https://www.thinketl.com/snowflake-architecture/),(https://www.snowflake.com/blog/snowflake-s-multi-cluster-shared-data-architecture/),(https://www.snowflake.com/blog/snowflake-delivers-a-single-data-experience-across-multiple-platforms/),(https://www.geeksforgeeks.org/snowflake-architecture/). 5
• 5 Sources

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