Why use Spatial Indexes?

H3, Quadbin and S2, offer unparalleled performance and analysis gains over traditional GIS approaches. Whether you are a telecoms, quick commerce, logistics or remote-sensing company, leverage the benefits of spatial indexes for large-scale data processing, aggregation and analytics.

Key benefits of Spatial Indexes

  • 01


    Analytics are faster and more computationally efficient.
  • 02


    Combine datasets into one layer for ease of comparison and analysis.
  • 03


    Remove bias associated with administrative geographies.
  • 04


    Visually more impactful and much easier to understand.

Take Spatial Analytics to the next level

Spatial Indexes enable performant location-based analytics for massive spatial data.

Simplify your workflows for faster analysis and better data visualization. Global coverage at flexible resolution levels - ranging from yards to miles.

How are organizations benefiting from Spatial Indexes?

Companies that generate large amounts of location data, such as GPS tracks, telemetry, remote sensing or customer transactions are overcoming both operational and analytical limitations by shifting to a more efficient geospatial analysis approach with Spatial Indexes.

  • Delivery & Quick Commerce

    Delivery & Quick Commerce

    To evaluate business critical performance indicators such as delivery delays and errors.

  • Logistics & Fleet Management

    Logistics & Fleet Management

    To optimize routings, delivery times and better manage fleets.

  • Telecommunications


    To process and analyze massive network performance data volumes and generate unique customer usage insights.

  • Sustainability & Climate Resilience

    Sustainability & Climate Resilience

    To overcome the processing limitations and costs associated with handling and visualizing large raster datasets.

  • Geomarketing & Advertising

    Geomarketing & Advertising

    To optimize high volume marketing campaigns by locating customers & prospects, and understanding temporal patterns.

Cloud-native support for Spatial Indexes

CARTO’s Location Intelligence platform unlocks Spatial Indexes on the most popular cloud data warehouses including Google BigQuery, Snowflake, Redshift and Databricks. Eliminate ETL complexity and any limits on data scalability.

Use efficient SQL statements for analysis with Spatial Indexes, harnessing the true power of the cloud data warehouse.

Spatial Indexes across the CARTO platform

From visualizing large datasets using Spatial Indexes in our Builder tool, to running more advanced analytical functions with Spatial SQL – CARTO enables analytics at scale without the need for complex geometries, across our whole platform.

Advanced spatial analysis features

Our Analytics Toolbox opens up analysis with H3 and other Spatial Indexes, including Quadkey and S2, through simple user-defined functions (UDFs). Ready-to-use on the CARTO platform, or directly through cloud provider consoles.

Enrich grids with 1000s of spatial variables

Through our Data Observatory, CARTO users now have access to more than 12,000 spatial datasets that can be used for H3 & Quadbin aggregation and enrichment, including demographic, human mobility, behavioral, and climate variables.

Want to see CARTO & Spatial Indexes in action?