🆚 Umami vs. Vercel Web Analytics

Type

Web analytics tool
Web analytics tool

About

Umami is an open-source, privacy-focused web analytics tool that acts as a lightweight alternative to Google Analytics, enabling website owners to track traffic and user interactions without collecting personal data.

It offers cookieless tracking, real-time dashboards, custom event tracking, multi-site support, full self-hosting with complete data ownership, and advanced segmentation and cohort analysis tools available since version 3.

Vercel Analytics is a privacy-friendly solution to track page views and custom events in any website deployed on Vercel.

Headquarters

San Francisco, California, United States
San Francisco, California, United States

Website

Pricing

Free version ✔️ Open source
Umami Cloud
Free version ✔️ 3 websites, 100K events per month
Pro (1M events) $20/month
Enterprise Custom
Free version ✔️ 2,500 events per month
Pro
25,000 events $20/user/month
Extra events up to 500K $14/100K events
Web Analytics Plus add-on $50/month
Enterprise $3,000+/month

Categories

Analytics › Rank #22
Analytics › Rank #91

Popularity

Determined by the number of sites using each technology.

The Umami web analytics tool is 15 times more popular than Vercel Web Analytics.
Total websites

Market share

Analytics

Popularity by country

Determined by the number of sites detected from each country.

Umami is more popular in the United States, Germany, and the United Kingdom, while Vercel Web Analytics is more popular in Colombia.
United States
Germany
United Kingdom
France
Netherlands
India
Spain
China
Italy
Poland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Umami is more popular than Vercel Web Analytics in all market segments.
Business
Blogs/Wiki
Marketing/Merchandising
Internet Services
Online Shopping
Education/Reference
Real Estate
Entertainment
Software/Hardware
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#1,027
#2,851
View more ➝

See also

🗃️ About This Data