The distributed architecture of Snowflake has the capacity to process huge datasets faster and allows us to scale up and down according to our needs.
Snowflake's distributed architecture offers scalability, rapid data processing, and efficient handling of structured and semi-structured data. Its separate storage and compute ensure cost-effectiveness. Features like Time Travel and cloning enhance collaboration, while fast query responses integrate well with other systems. However, improvement is needed in geo-spatial queries, pricing, SQL-based stored procedures, ETL functionality, and tool integration. Excellent technical support adds to its cloud service appeal with minimal maintenance.



