Databricks has released built-in support for H3, a global hierarchical grid system that enables efficient management and analysis of large geospatial datasets. This collaboration with CARTO brings significant speed improvements to users who process and analyze geospatial data. The new functionality offers advantages such as efficiency, scalability, flexibility, collaboration, and analysis capabilities, making it easier to unlock massive-scale spatial analytics natively in the Lakehouse platform. With 28 native H3 functions, including functions to generate H3 cells and grids from geometries or well-known text, users can perform dynamic aggregation and run complex geospatial analysis. CARTO's Spatial Extension for Databricks allows users to connect directly to their Databricks cluster to access data and perform massive-scale data visualization and analytics. The release is part of the milestone 11.2 Runtime release and offers huge advancements for users who are processing and analyzing geospatial data, making it easier to unlock new types of spatial analysis and collaboration capabilities.