Moving from Snowflake to Databricks shifts enterprises from a standard data warehouse to a unified Lakehouse architecture that natively bridges SQL analytics with advanced AI and ML capabilities. This migration often yields significant cost savings and performance gains by consolidating fragmented workloads into a single, open-source-friendly platform. While Snowflake focuses on governed SQL simplicity, Databricks offers superior flexibility for unstructured data and large-scale engineering, making it the more robust choice for future-proofing data strategies. Ultimately, this transition is a strategic move to unlock high-value predictive modeling and real-time insights at a lower operational overhead.