Introducing Felt SQL Queries for Spatial Analysis at Scale
Blog post from Felt
Felt has significantly enhanced its enterprise capabilities by introducing SQL queries, allowing users to perform complex spatial analyses directly from their databases through the platform. This advancement streamlines data workflows by eliminating the need for multi-step GUI interactions and enabling efficient execution of SQL operations, such as ST_Intersects and ST_Buffer, to deliver precise data insights. The platform now supports native integration with major cloud databases like BigQuery and Snowflake, ensuring robust compatibility and real-time data synchronization for seamless collaboration across teams. Additionally, Felt offers features like intelligent query management and direct-to-end-user delivery, enabling quick and efficient data utilization within organizations. These enhancements are designed to optimize spatial data handling and improve the speed and efficiency of data-driven decision-making processes.