Query your warehouse directly: live maps without ETL or Python

Felt positions its AI-native GIS platform as a way for teams to create live maps directly from cloud data warehouses, avoiding the stale exports, ETL processes, duplicate datasets, and technical bottlenecks common in traditional mapping workflows. It connects through read-only access to systems including Snowflake, BigQuery, Databricks, Redshift, Postgres/PostGIS, cloud storage, and Esri services, while retaining the warehouse as the authoritative source and using vector tiles for map performance. Users can either write and edit spatial SQL against live data or use Felt’s AI assistant to ask natural-language questions that generate queries, analyze results, and create shareable map layers. The platform includes configurable refresh schedules, enterprise controls such as SSO and role-based permissions, and an approach intended to let non-specialists conduct spatial analysis without requiring Python, export scripts, or SQL expertise.

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