1) There is a separation of compute and storage. It enables elastic scaling and consistent performance across workloads. 2) Snowflake AI Data Cloud has strong governance and security features like RBAC, dynamic masking and secure data sharing well integrated. 3) Snowflake AI Data Cloud also has high performance for analytics and handles large queries and concurrent workloads efficiently. It also has great security for data sharing without data movement. 4) Snowflake Data Cloud allows running Python/ML workloads closer to the data. It is also fully managed, and no infrastructure tuning is required.
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Cost Maturity Bugs
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