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How Atlas fits next to the platforms you know
Atlas covers ground that usually takes several vendors: a map stack, a remote-sensing workbench and a simulation exporter. Here is where it overlaps with each, and where it doesn’t.
In one API
What you get without a second vendor
Basemap tiles (vector, raster, terrain)
/tiles/*
Place search and geocoding
/search, /geocode
Routing, isochrones and transit
/route, /isochrone, /transit/plan
Satellite imagery tiles
/raster/:dataset
Earth Engine-style scripted analysis
/ee/run
Simulator export (3D Tiles, OpenDRIVE, OpenSCENARIO)
/export/*
Weather, hazards, elevation and boundaries
/weather/at, /hazards, /elevation, /divisions
Atlas and Google Earth Engine
Known for
Planetary-scale raster analysis over a multi-petabyte public catalog, with the Code Editor and JavaScript and Python APIs.
Where Atlas fits
Runs the same Code Editor scripts on Atlas’s own compute, scoped to the pixels each request needs, and pairs the results with a basemap, routing and places. Atlas doesn’t replace planet-wide batch processing.
Using both
Prototype in Earth Engine, then run the same script on Atlas to serve the result inside your product.
Atlas and Mapbox
Known for
Map rendering SDKs, hosted tiles, geocoding, directions and isochrones for consumer and logistics apps.
Where Atlas fits
Covers the same map, search and routing jobs from an open data base (Overture), and adds satellite imagery, analysis and simulation export on the same API.
Using both
Atlas vector tiles are standard MVT, so they work in MapLibre and other MVT-compatible renderers.
Atlas and CARTO
Known for
Cloud-native spatial analytics and visualization that run inside your data warehouse.
Where Atlas fits
Hosts the data and the compute itself, so there is no warehouse to set up, and covers raster imagery and routing alongside vector data.
Using both
Export Atlas reports as kepler.gl configs, or pull Atlas results into the warehouse your analysts already use.
Atlas and Microsoft Planetary Computer
Known for
A STAC catalog of public environmental datasets in cloud-optimized formats on Azure.
Where Atlas fits
Reads those same public archives over STAC and adds the analysis runtime, tiles and app-ready APIs on top, so you don’t assemble the compute yourself.
Using both
Atlas’s Landsat, Sentinel-2, NAIP, MODIS and SRTM sources read cloud-optimized archives such as Planetary Computer’s directly.
Atlas and Planet Labs
Known for
High-cadence commercial satellite imagery from its own constellation, with analysis tools on top.
Where Atlas fits
Doesn’t operate satellites. Atlas analyzes public archives and any imagery you ingest as cloud-optimized GeoTIFFs, then puts it in context with streets, buildings and routing.
Using both
Bring licensed commercial scenes into Atlas as COGs and analyze them next to the public archives.
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Put a whole city behind one API
Make your first request in a few minutes: search a place, route to it and pull the imagery around it.