Databricks, built on Apache Spark, has become a preferred tool for data scientists due to its emphasis on collaboration and ability to handle large datasets seamlessly, while integrating effortlessly with geospatial tools like GeoSpark and Sedona. Felt, a platform dedicated to advancing geospatial technology, connects directly with Databricks, enhancing user capabilities for mapping and spatial analysis. The integration allows users to easily visualize their Databricks data in Felt by setting up a new read-only user, entering connection details, and importing data layers into spatial dashboards, thereby transforming their operational workflows.