🆚 ABlyft vs. PostHog

Compare technologies based on real-world usage data *

Type

A/B testing tool
Web analytics tool

About

ABlyft is an A/B testing platform with a powerful visual editor and a focus on developers.

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.

Headquarters

Kiel, Germany
San Francisco, California, United States

Website

Pricing

Free version ✔️
Custom
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

Categories

A/B Testing › Rank #27
A/B Testing › Rank #5
Analytics › Rank #41
Feature Management › Rank #3

Popularity

Determined by the number of sites using each technology.

The PostHog web analytics tool is 10 times more popular than ABlyft.
Total websites

Market share

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 France, while ABlyft is more popular in Germany and Chile.
United States
Germany
United Kingdom
France
Netherlands
Canada
India
Australia
Spain
Brazil

Awards

Popularity by domain category

Determined by the number of sites in each category.

PostHog is more popular than ABlyft in all market segments.
Business
Online Shopping
Marketing/Merchandising
Internet Services
Software/Hardware
Real Estate
Education/Reference
Health
Fashion/Beauty
Finance/Banking

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#2,001
#11,627
View more ➝
Name
Rank
#1,016
#2,267
#2,710
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.