CARTO

CARTO is an agentic, cloud-native Geographic Information System (GIS) platform designed to bring spatial analytics directly into the modern data stack. Unlike traditional GIS tools that require proprietary file formats, desktop software, and separate storage systems, CARTO executes spatial queries natively inside leading cloud data warehouses — including Google BigQuery, Snowflake, Databricks, Amazon Redshift, and PostgreSQL. This architecture means location data never has to leave the warehouse, eliminating data duplication, reducing governance risks, and allowing teams to leverage the compute, security, and scalability of their existing cloud infrastructure.

The platform combines four core capabilities: advanced interactive visualization (including 3D, heatmaps, and large-scale vector maps), a spatial analytics engine with pre-built SQL and Python functions for geoprocessing, a low-code builder for creating spatial applications and dashboards, and a Spatial Data Catalog with thousands of curated demographic, mobility, environmental, financial, and points-of-interest datasets that can be streamed directly into a warehouse. CARTO's recent evolution toward an "agentic GIS" adds AI-assisted workflows where natural-language prompts can drive map creation, data enrichment, and analytical model building, lowering the barrier for non-GIS specialists.

CARTO is used across industries such as retail site selection, telecommunications network planning, logistics optimization, real estate investment, insurance risk modeling, out-of-home advertising, and public sector planning. Its typical users include data scientists who want to run spatial SQL at scale, GIS analysts migrating away from legacy ESRI or desktop-based stacks, and business analysts who need map-based dashboards embedded into operational workflows. By blending the rigor of enterprise GIS with the flexibility of modern cloud analytics and generative AI, CARTO positions itself as the spatial layer of the modern data platform, offering a scalable alternative to legacy desktop GIS and fragmented open-source toolchains.