A popular relational database system, PostgreSQL, is being migrated to Snowflake due to limitations in traditional database approaches for spatial analytics. Cloud data warehouses offer benefits such as performance, scalability, and security, making it an ideal choice for teams looking for performant location-based analysis at scale. Snowflake provides a unified platform that powers the Data Cloud, connecting businesses globally across any type or scale of data and many different workloads. The platform offers unmatched levels of scalability, performance, and security, with features such as serverless architectures, cost-effective cloud storage and computation, and seamless data collaboration. Additionally, Snowflake's native support for geospatial analytics, combined with the CARTO Spatial Extension, provides a wealth of spatial functionality, making it an attractive choice for migrating PostgreSQL spatial workflows to the cloud. The migration process involves setting up a spatial infrastructure in Snowflake, importing data from PostgreSQL, accelerating queries using Search Optimization Service and spatial indexes, sharing data with other users, and enriching spatial analysis and visualization using CARTO's Data Observatory and Analytics Toolbox.