CARTO in a nutshell

CARTO is the leading Location Intelligence platform. It enables organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
Data Scientists, Developers, and Analysts use CARTO to optimize business processes and predict future outcomes through the power of Spatial Data Science.
Our platform helps you visualize, analyze, and build applications using location data, natively on your cloud data warehouse platforms. CARTO is available for both individual users and enterprises, in both cloud and self-hosted deployments.

Components of the CARTO platform

Depending on your usage of the CARTO platform, whether it’s for visualization, analysis, data access, or application development, you will be using different components of the platform.


The central location of all your experience with CARTO; connect to multiple cloud data warehouses, explore your geospatial data, geocode your tables, enrich your data with a wealth of vetted datasets to enhance your geospatial analysis, and access the different CARTO tools.


CARTO Builder offers powerful map making capabilities, interactive data visualizations, collaboration and publication options - everything running natively from your cloud data warehouse.

Platform APIs and libraries

For the Developer community, we have created a complete library of APIs, frameworks, connectors, and development tools to accelerate the spatial app development process.

Analytics Toolbox

The CARTO Analytics Toolbox is a suite of functions and procedures to easily enhance the geospatial capabilities available in the different cloud data warehouses. It contains more than 100 advanced spatial functions, grouped in different modules such as tiler, data, clustering, statistics, etc.

Data Observatory

We catalog and distribute thousands of vetted public and premium spatial datasets, covering most global markets. These datasets are available across the different components of CARTO, so you can use them for data enrichment or as additional layers for your spatial apps and analyses.