---
path: 2026_03_30_GISOwl_vs_Felt_Comparison
title: "GISOwl vs Felt: A Feature and Pricing Comparison for Mapping Teams"
desc: "An honest feature and pricing comparison between GISOwl and Felt for teams working with geospatial data."
date: Mar 30, 2026
---

# GISOwl vs Felt: A Feature and Pricing Comparison for Mapping Teams

*March 2026*

If you're evaluating web-based mapping platforms in 2026, Felt is probably on your shortlist. It's a well-designed product with a clean interface and strong collaboration features. We respect what they've built.

But features and pricing matter — especially for teams where every dollar compounds and every missing capability means a workaround. Here's an honest comparison.

## The Price Gap at a Glance

| | GISOwl Starter | Felt Team |
|---|---|---|
| **Price** | $15/month flat | $25/user/month |
| **5-person team cost** | **$15/month** | **$125/month** |
| **10-person team cost** | **$15/month** | **$250/month** |
| **Maps** | Unlimited | Unlimited |
| **AI assistant** | Owl AI included | Not included |
| **Spatial analysis** | Included | Limited |

The key difference: GISOwl Starter is a flat rate. Felt Team is per-user. For a solo user, the gap is modest. For a 10-person team, it's $15 vs $250. That gap widens fast.

## Feature Comparison

| Feature | GISOwl Team ($35/mo) | Felt Team ($25/user/mo) |
|---|---|---|
| Upload formats | Shapefiles, GeoJSON, CSV, raster, COG, Esri, SQL | Shapefiles, GeoJSON, CSV, KML |
| AI-powered queries | Owl AI (natural language to spatial SQL) | No |
| Field data collection | Mobile app with offline sync | No |
| QGIS plugin | Yes | No |
| Esri services integration | Yes | No |
| Dashboards & apps | Yes | No |
| REST API & webhooks | Yes | Limited |
| SSO/SAML | Yes | Enterprise only |
| 5-person team cost | **$35/month** | **$125/month** |

## Where Felt Wins

Felt has a polished onboarding experience and a beautifully minimal interface. If your primary use case is quick map sketches, annotations, and lightweight sharing — Felt gets you there with less friction.

Felt also has stronger drawing and annotation tools for quick visual communication. Their map styling defaults are elegant and require less tweaking to look good.

## Where GISOwl Wins

**Data format support, decisively.** GISOwl supports raster imagery, Cloud Optimized GeoTIFFs, Esri service connections, SQL database imports, and a QGIS plugin. If you work with serious geospatial data beyond basic vector files, GISOwl handles it.

**Owl AI.** Natural language queries against your spatial data is a category-defining feature. Ask questions in plain English, get answers on your map. Felt has no equivalent.

**Field data collection.** GISOwl's mobile app lets teams collect GPS points, photos, and form data in the field — offline-capable, with automatic sync. Felt doesn't offer this.

**Price at scale.** Flat-rate pricing means your mapping cost doesn't scale linearly with headcount.

## The Bottom Line

If you need a quick, beautiful way to sketch maps and share them with colleagues, Felt is excellent. If you work with diverse geospatial data formats, need AI-powered spatial analysis, collect data in the field, or want to keep costs flat as your team grows, GISOwl is the stronger choice.