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← Back to CARTO Overview

CARTO Pricing & Plans 2026

Complete pricing guide for CARTO. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try CARTO Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether CARTO is worth it →

🆓Free Tier Available
💎4 Paid Plans
⚡No Setup Fees

Choose Your Plan

Free

$0

mo

    Start Free Trial →

    Individual / Build

    $99/month

    mo

      Start Free Trial →
      Most Popular

      Professional / Team

      $299/month per user

      mo

        Start Free Trial →

        Enterprise

        Custom (contact sales)

        mo

          Contact Sales →

          Pricing sourced from CARTO · Last verified March 2026

          Feature Comparison

          Detailed feature comparison coming soon. Visit CARTO's website for complete plan details.

          View Full Features →

          Is CARTO Worth It?

          ✅ Why Choose CARTO

          • • Runs spatial analytics natively inside BigQuery, Snowflake, Databricks, and Redshift — no data movement or duplication required
          • • Extensive Spatial Data Catalog with thousands of curated demographic, mobility, and environmental datasets delivered directly to the warehouse
          • • Agentic AI workflows allow natural-language map building and analysis, accelerating work for non-GIS users
          • • Strong interactive visualization stack including 3D maps, large vector tilesets, and embeddable dashboards via the Builder low-code tool
          • • Cloud-native SQL/Python analytics library covers advanced geoprocessing, routing, clustering, and spatial indexing (H3, Quadbin)
          • • Well-suited to enterprise governance needs thanks to SSO, role-based access, and data staying inside the customer's cloud

          ⚠️ Consider This

          • • Requires an existing cloud data warehouse to unlock the full value; teams without one face additional setup cost and complexity
          • • Pricing for production and enterprise tiers is not publicly transparent and typically requires sales engagement
          • • Learning curve for users coming from desktop GIS (ArcGIS, QGIS) who are unfamiliar with SQL-based spatial workflows
          • • Warehouse compute costs can escalate quickly for heavy spatial queries on large datasets, adding to total cost of ownership
          • • Some advanced legacy GIS capabilities (detailed cartographic editing, certain raster operations) are less mature than specialized desktop tools

          What Users Say About CARTO

          👍 What Users Love

          • ✓Runs spatial analytics natively inside BigQuery, Snowflake, Databricks, and Redshift — no data movement or duplication required
          • ✓Extensive Spatial Data Catalog with thousands of curated demographic, mobility, and environmental datasets delivered directly to the warehouse
          • ✓Agentic AI workflows allow natural-language map building and analysis, accelerating work for non-GIS users
          • ✓Strong interactive visualization stack including 3D maps, large vector tilesets, and embeddable dashboards via the Builder low-code tool
          • ✓Cloud-native SQL/Python analytics library covers advanced geoprocessing, routing, clustering, and spatial indexing (H3, Quadbin)
          • ✓Well-suited to enterprise governance needs thanks to SSO, role-based access, and data staying inside the customer's cloud

          👎 Common Concerns

          • ⚠Requires an existing cloud data warehouse to unlock the full value; teams without one face additional setup cost and complexity
          • ⚠Pricing for production and enterprise tiers is not publicly transparent and typically requires sales engagement
          • ⚠Learning curve for users coming from desktop GIS (ArcGIS, QGIS) who are unfamiliar with SQL-based spatial workflows
          • ⚠Warehouse compute costs can escalate quickly for heavy spatial queries on large datasets, adding to total cost of ownership
          • ⚠Some advanced legacy GIS capabilities (detailed cartographic editing, certain raster operations) are less mature than specialized desktop tools

          Pricing FAQ

          What is CARTO and how does it differ from traditional GIS platforms?

          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.

          Which data warehouses and databases does CARTO support?

          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.

          Does CARTO offer a free tier?

          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.

          What does 'agentic GIS' mean in CARTO's platform?

          Agentic GIS refers to AI-driven workflows where users can describe spatial tasks in natural language — such as building a map, enriching data, or running an analysis — 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.

          Who typically uses CARTO?

          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.

          Ready to Get Started?

          AI builders and operators use CARTO to streamline their workflow.

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          More about CARTO

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