Geospatial Solutions
Case Study

How We Saved $250K/Year by Ditching ESRI for Open-Source GIS

(And You Can Too)

Published November 2025
12 min read
Geospatial Solutions LLC

The $250,000 Question

If you're a GIS manager, you've probably had this conversation with your CFO:

"Why are we spending $250,000 per year on ESRI licenses when there's free software that does the same thing?"

Until recently, the answer was simple: "Because ArcGIS is the industry standard, and we don't have time to retrain our team."

But in 2024, we made the switch. Our 10-person GIS team migrated from ArcGIS to a 100% open-source stack. Not only did we save $250K/year in licensing costs, but we actually increased our capabilities.

Here's how we did it—and how you can too.

Our ESRI Stack (The $250K Problem)

Before the migration, our annual ESRI costs looked like this:

ProductLicensesAnnual Cost
ArcGIS Pro (Named User)10$15,000
Spatial Analyst Extension10$30,000
3D Analyst Extension5$15,000
Network Analyst Extension5$15,000
Image Analyst Extension3$9,000
ArcGIS Server (Enterprise)2 cores$50,000
ArcGIS Online (Creator accounts)10$25,000
Portal for ArcGIS1$15,000
Support & Maintenance (20%)-$35,000
TOTAL$209,000

Add in training costs, upgrade cycles, and "hidden" expenses like hardware requirements for running ArcGIS Server, and we were easily hitting $250,000/year.

And that's for a mid-size team. Enterprise customers with 50+ analysts? Try $1M+/year.

The Breaking Point: When ESRI's Pricing Model Broke Us

The final straw came in Q4 2023. Our solar development clients were asking us to screen 10,000+ parcels per month for utility-scale projects. With ArcGIS, this meant:

  1. Manual labor: Each parcel took 30 minutes to analyze (slope, flood zones, solar irradiance, distance to transmission).
  2. Licensing bottlenecks: We only had 10 ArcGIS Pro licenses. Queue times were killing us.
  3. Server costs: Running ArcGIS Server for web services? $50K/year + $10K in AWS hosting.

We did the math:

  • 10,000 parcels/month × 30 minutes = 5,000 hours/month
  • 5,000 hours ÷ 160 hours/analyst = 31 full-time analysts needed
  • 31 analysts × $20,900/year (ArcGIS Pro + extensions) = $648,000/year just for software!

That's when we knew: ESRI's pricing model doesn't scale with automation.

The Open-Source Alternative (Our New Stack)

We replaced the entire ESRI stack with free, open-source tools. Here's the mapping:

ESRI ProductOpen-Source ReplacementAnnual Cost
ArcGIS ProQGIS 3.38$0
Spatial AnalystGRASS GIS / SAGA GIS$0
3D AnalystQGIS 3D / Cesium$0
Network AnalystpgRouting (PostGIS extension)$0
Image AnalystOrfeo Toolbox / GDAL$0
ArcGIS ServerGeoServer + MapServer$0
ArcGIS OnlineMapLibre GL JS + Leaflet$0
Portal for ArcGISGeoNode$0
DatabasePostGIS (PostgreSQL extension)$0
TOTAL$0

Hosting costs: $144/year (DigitalOcean $12/month droplet)

Annual savings: $249,856

Want the Full 4000-Word Guide?

Download the complete migration guide including 90-day timeline, lessons learned, when NOT to switch, and detailed feature comparisons.

Download Full Guide (Markdown)

Key Takeaways

  • Cost Savings: $250K/year → $144/year (99.94% reduction)
  • Migration Time: 90 days for full production deployment
  • Team Productivity: Increased after migration (automation + no license limits)
  • Best For: Teams doing bulk analysis, automation, or web mapping
  • Not For: Enterprise GIS with heavy ArcGIS Server dependencies, teams requiring ESRI enterprise support

Ready to Migrate?

We help GIS teams migrate from ESRI to open-source stacks. Our 90-day migration includes:

  • Complete cost/benefit analysis for your team
  • Custom migration plan
  • Team training (QGIS, PostGIS, GeoServer)
  • Data migration assistance
  • Workflow automation setup
  • 3 months of post-migration support

Save $250K/Year on Your GIS Stack

Schedule a free 30-minute consultation to see if open-source GIS is right for your team

Schedule Free Consultation

Related Resources

Technologies We Work With

Leveraging cutting-edge technologies and industry-leading tools to deliver exceptional geospatial solutions and data analytics services.

QGIS

GIS Software

ESRI ArcGIS

GIS Platform

PostgreSQL

Database

PostGIS

Spatial Database

AWS

Cloud Platform

Google Cloud

Cloud Platform

DuckDB

Analytics Database

OpenAI

AI Platform

Claude AI

AI Assistant

CVAT

Annotation Tool

Python

Programming

React

Frontend

Node.js

Backend

Docker

Containerization

Kubernetes

Orchestration

Azure

Cloud Platform

TensorFlow

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Jupyter

Data Science

Git

Version Control

Linux

Operating System

Ubuntu

Operating System

Mapbox

Mapping Platform

Leaflet

Web Mapping

Fastapi

API Framework

GeoPandas

Geospatial Analysis

GDAL

Geospatial Library