CARTO is a cloud-native spatial analytics and location intelligence platform designed for the modern data stack. It allows organizations to analyze, visualize, and develop applications using spatial data at scale, operating directly on top of cloud data warehouses such as Google BigQuery, Snowflake, AWS Redshift, and Databricks. CARTO provides a suite of low-code and no-code tools for spatial data preparation, analysis, and visualization, as well as APIs and developer toolkits for building custom geospatial applications. The platform supports a wide range of use cases, from business process optimization and predictive modeling to strategic site selection and logistics planning, making spatial analytics accessible to analysts, data scientists, and developers alike. CARTO is available as a fully managed SaaS or as a self-hosted deployment for enterprise needs.

Key Features

Cloud-Native Architecture

• Runs natively on leading cloud data warehouses, eliminating data duplication and complex ETL processes.
• Scalable to billions of records and multiple data layers for high-performance analytics and visualization.

Low-Code/No-Code Analysis Tools

• CARTO Workflows: Drag-and-drop interface for designing, automating, and sharing spatial analysis pipelines without coding.
• Builder: Interactive map creation and data visualization tool with advanced styling and analysis capabilities.

Advanced Spatial Analytics

• Analytics Toolbox: Over 100 advanced spatial functions and procedures for geospatial processing and analysis.
• Real-time and batch analytics for diverse spatial data science use cases.

Data Enrichment

• Data Observatory: Access to over 12,000 curated geospatial datasets, including demographics, POIs, traffic, weather, and more.

Developer Toolkit

• APIs, frameworks, and visualization libraries (e.g., deck.gl) for building scalable, map-centric applications.
• Framework-agnostic integration with popular development stacks (JavaScript, React, Angular, etc.).

Enterprise-Ready Security and Deployment

• Flexible authentication, SSO, and access controls for secure data sharing.
• Available as fully managed SaaS or self-hosted deployment for data governance and compliance needs.

Benefits

Accelerated Time-to-Insight

• Rapidly design, run, and share spatial analysis workflows and dashboards, reducing time from data to actionable insight.
• Low-code and no-code tools democratize spatial analytics for users of all skill levels.

Cost-Effective Scalability

• Analyze and visualize massive datasets directly in your cloud warehouse, minimizing infrastructure and operational costs.
• No need for intermediate mapping infrastructure or complex backend APIs.

Enhanced Decision-Making

• Unlocks advanced location intelligence for use cases like delivery route optimization, behavioral marketing, store placement, and risk analysis.
• Supports predictive modeling and business process optimization with spatial data science.

Seamless Integration and Flexibility

• Integrates with existing cloud data stacks and supports a wide range of deployment and development scenarios.
• Access to extensive curated datasets for data enrichment and deeper analysis