🆚 Heap vs. PostHog
Compare technologies based on real-world usage data *- 📈 PostHog is twice as popular as Heap.
- 🌎 PostHog is more popular in the United States, the United Kingdom, and Germany.
- 🌍 Heap is more popular in Poland, Italy, and Iran.
Type
About
Heap is a digital insights platform that automatically collects and organizes user behavior data for web and mobile applications.
It records every click, swipe, pageview, and form fill, offers user journey path, funnel, and cohort analysis, integrated session replay to see how users interact, and cross-device tracking to unify user profiles.
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
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⬆️ 31st most popular in Poland in the Analytics category.
- ⬆️ 49th most popular in Australia in the Analytics category.
- ⬆️ 49th most popular in Canada in the Analytics category.
- ⬆️ 52nd most popular in the United States in the Analytics category.
- ⬆️ 53rd most popular in Italy in the Analytics category.
- 🥇 Most popular in Turkey in the A/B Testing category.
- 🥇 Most popular in Turkey in the Feature Management category.
- 🥈 Second most popular in Poland in the Feature Management category.
- 🥉 Third most popular in the United States in the Feature Management category.
- 🥉 Third most popular in Canada in the Feature Management category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
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.
Heap

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