The beta launch of CARTO Spatial Analytics on Databricks brings spatial analysis capabilities to the Lakehouse Platform, simplifying data architectures and eliminating traditional data silos. The extension supports geospatial workloads, enabling users to execute scalable spatial analysis functions natively using push-down SQL queries and access a vast array of spatial datasets. By leveraging User Defined Functions (UDF) and collaborating with Azavea, CARTO has created an Open Source library that exposes Geomesa spatial functionality as Spatial UDFs, bringing PostGIS-like features to Spark. This release is key for organizations using Databricks for analytical workloads, enabling them to push down all spatial workflows to Databricks clusters and providing fundamental building blocks for Location Intelligence in Databricks.