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Felt vs MapLarge

Felt logo

Felt

8.2#1 in gis softwareFrom $199 a month
Free planAndroidiOSWebAPI
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What both publish

FactFeltMapLarge
DashboardsFelt dashboards support statistics, bar and line charts, histograms, time series, filters, viewer interactions and H3 visualizations.The dashboard builder provides drag-and-drop maps, charts and KPI components and supports live edits and offline synchronization.
Data formatsFelt accepts spatial files including CSV, Excel, GeoJSON, GeoPackage, Shapefile, File Geodatabase, KML/KMZ and GeoTIFF.Documented integrations cover OGC WFS/WMS/WMTS and numerous vector, raster and database formats.
HeadquartersOakland, California, United StatesAtlanta, Georgia, USA
HostingFelt says data is hosted in the U.S. by default, with enterprise regional hosting, data residency options, and customer VPC deployment available.The server page lists on-premises or hybrid cloud, SaaS or managed cloud, AWS, Microsoft Azure, and Google Cloud Platform as deployment options.
ProductFelt is an AI-native, cloud-based GIS platform for making maps, dashboards, and apps from spatial data.MapLarge describes its Application Fabric as a platform for building governed operational AI applications from live satellite, sensor, and enterprise data.
Rating on Capterra0.0 out of 5 from 0 reviewsCapterra shows 0.0 out of 5 from 0 reviews and directs buyers to contact the vendor for pricing.

Felt plans

  • PersonalFree
  • FreeFree
  • Team$199 a month
  • Business$599 a month
  • Platform$1,000 a month
  • Enterprise$1,250 a month

MapLarge plans

  • Bulk geocoding—

Pick Felt if…

Felt suits GIS, field operations, data science, analytics, product, and engineering teams. Its free Personal plan is for personal use rather than business, while organizations can consider annual Professional or Enterprise contracts.

Pick MapLarge if…

MapLarge suits organizations building operational applications from varied live data, especially those needing geospatial analytics, flexible deployment, or detailed access controls. It may also fit teams connecting mapping, enterprise, and analytics systems.

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