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CARTO is a cloud-native, agentic GIS platform that runs spatial analytics directly inside cloud data warehouses. Unlike traditional GIS tools such as ArcGIS or QGIS, which rely on local files and proprietary storage, CARTO queries data in place within BigQuery, Snowflake, Databricks, Redshift, or PostgreSQL, reducing data duplication and aligning spatial analysis with the broader modern data stack.
CARTO integrates natively with Google BigQuery, Snowflake, Amazon Redshift, Databricks, and PostgreSQL/PostGIS. Users can connect their existing warehouse, run CARTO's Analytics Toolbox as SQL functions, and visualize the results without moving data out of their environment.
Yes. CARTO offers a free plan that lets users explore the platform, create maps, and test core visualization and basic analytics features. Paid plans scale up with user seats, data volumes, advanced analytics modules, and enterprise governance features, with custom pricing for larger deployments.
Agentic GIS refers to AI-driven workflows where users can describe spatial tasks in natural language â such as building a map, enriching data, or running an analysis â and have an AI agent generate the underlying SQL, visualizations, or analytical pipeline. This lowers the barrier to spatial analysis for non-specialists and speeds up common workflows for experts.
CARTO is used by data scientists, GIS analysts, product teams, and business analysts across sectors including retail, telecommunications, real estate, insurance, logistics, out-of-home advertising, and the public sector. It is particularly popular with organizations modernizing legacy GIS stacks or embedding spatial intelligence into existing cloud analytics workflows.
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Last verified March 2026