🆚 Personio vs. Rippling

Compare technologies based on real-world usage data *

Type

HR management system
HR management system

About

Personio is an all-in-one cloud-based human resources management system (HRMS) that enables companies to recruit, onboard, manage, and pay employees from a single platform.

It offers centralized people and organization data management, workflow automation, AI-powered analytics through Personio Assistant, electronic signatures, over 200 integrations, and payroll-ready modules designed for European compliance.

Rippling is a cloud-based workforce management system that unifies human resources, payroll, IT, and finance into a single platform.

Headquarters

Munich, Germany
San Francisco, California, United States

Website

Pricing

Free version ❌
Custom
Free version ❌
$8+/employee/month

Categories

HR Management › Rank #11
HR Management › Rank #24

Popularity

Determined by the number of sites using each technology.

The Personio HR management system is 4 times more popular than Rippling.
Total websites

Market share

HR Management

Popularity by country

Determined by the number of sites detected from each country.

Personio is more popular in Germany, Switzerland, and Spain, while Rippling is more popular in the United States, Canada, and Australia.
Germany
United States
Switzerland
Spain
Austria
France
United Kingdom
Netherlands
Italy
Sweden

Awards

Popularity by domain category

Determined by the number of sites in each category.

Personio is more popular than Rippling in all market segments.
Business
Marketing/Merchandising
Online Shopping
Internet Services
Software/Hardware
Education/Reference
Fashion/Beauty
Blogs/Wiki
Sports
Health

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#7,560
View more ➝
Name
Rank
#11,898
#13,705
#18,326
#21,131
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.