# Felt

Canonical: https://gisforweb.com/tools/felt/

Collaborative browser-based GIS for building maps from live data, with spatial SQL and AI.

Felt is a browser-based GIS platform for teams that publish, edit, and share maps without running desktop software. Users connect live sources such as PostGIS, Snowflake, BigQuery, and Databricks or upload files directly, then style, filter, and analyze the data with spatial SQL and raster tools while collaborating in real time. Maps render with MapLibre and large uploads are tiled with the company's Tippecanoe fork, with a JavaScript SDK, REST API, webhooks, and MCP server for developers plus an official Python client. Plans are per-seat and freemium, with self-hosted deployment offered on Enterprise.

## Details

- Type: saas

- Categories: mapping, collaboration, analysis

- Open source: No

- Pricing model: freemium

- Platforms: web

## Features

- Real-time collaborative map editing and comments

- Connect PostGIS, Snowflake, BigQuery, and Databricks

- Spatial SQL for buffer, dissolve, and clip

- Felt AI builds maps from plain-language prompts

- JavaScript SDK, REST API, webhooks, and MCP server

- Offline mobile field capture with photo forms

- Cloud Optimized GeoTIFF streaming and raster analysis

- QGIS plugin for syncing project layers

## Project sources

- Website: https://felt.com

- Documentation: https://developers.felt.com

Directory descriptions are summaries. Verify current capabilities and terms with the project sources.