🆚 PostHog vs. Roistat

Compare technologies based on real-world usage data *

Type

Web analytics tool
A/B testing tool

About

PostHog is an open-source product analytics platform available as a self-hosted deployment or managed cloud service.

It offers event and funnel analytics, retention and cohort analysis, session recording and heatmaps, feature flags and A/B testing, customizable dashboards, plugins, and data export to data warehouses such as BigQuery and Snowflake.

Roistat is a Russian SaaS marketing analytics platform.

Headquarters

San Francisco, California, United States
Moscow, Russia

Website

Pricing

Free version ✔️Open source
PostHog Cloud
Free tier ✔️1M events, 5K session recordings
Usage based (after 1M free events)$0.00005-/event
Enterprise$2,000+/month
Free version ❌Free 14-day trial
$239+/month

Categories

Analytics › Rank #41
Analytics › Rank #60
A/B Testing › Rank #5
A/B Testing › Rank #10
Feature Management › Rank #3

Popularity

Determined by the number of sites using each technology.

The PostHog web analytics tool is 1.7 times more popular than Roistat.
Total websites

Market share

Analytics
A/B Testing

Popularity by country

Determined by the number of sites detected from each country.

PostHog is more popular in the United States, the United Kingdom, and Germany, while Roistat is more popular in Russia, Belarus, and Ukraine.
Russia
United States
United Kingdom
Germany
France
Canada
Belarus
India
Australia
Netherlands

Awards

Popularity by domain category

Determined by the number of sites in each category.

PostHog is more popular than Roistat in all market segments.
Business
Marketing/Merchandising
Online Shopping
Internet Services
Education/Reference
Software/Hardware
Real Estate
Health
Travel
Blogs/Wiki

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,016
#2,267
#2,710
View more ➝
Name
Rank
#14,694
#17,683
#22,277
#28,267
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.