Google Analytics vs PostHog

Google Analytics and PostHog are both analytics options. Here's how they compare on official platforms, features, and positioning — sourced from each vendor's own site, not from ratings or reviews.

Side-by-side summary

ComparingGoogle AnalyticsPostHog

CategoryAnalyticsAnalytics

Alternatives tracked23

PlatformsWeb, iOS, AndroidWeb

Best for Google Analytics

Positioned for businesses of every size, from small businesses wanting free/easy measurement to enterprises wanting analytics unified with Google's advertising platforms (Google Ads, Display & Video 360).

Best for PostHog

Product teams and developers at companies of any size wanting analytics, experimentation, and data infrastructure in one platform, with SDKs for Next.js, React, Python, and 20+ other frameworks/languages.

Feature comparison

Every feature listed here comes directly from each vendor's own official site.

Google Analytics

Cross-platform (web + app) customer journey measurement
Machine-learning-based predictive insights
Cross-platform attribution modeling
Customizable, shareable reporting
Built-in automation for measurement
Native integrations with Google Ads, Search Ads 360, Search Console, Google Cloud

PostHog

Product analytics and web analytics
Session replay and heatmaps
Feature flags and no-code A/B testing experiments
Surveys for in-product feedback collection
Error tracking and AI observability (traces and logs)
Customer data platform (CDP) for routing event data to other tools
Managed data warehouse for querying product data

Pros and cons

Google Analytics

Pros

Cross-platform (web + app) customer journey measurement
Machine-learning-based predictive insights
Cross-platform attribution modeling
Customizable, shareable reporting
Built-in automation for measurement
Native integrations with Google Ads, Search Ads 360, Search Console, Google Cloud

Cons

We don't publish a "cons" list for either product. No vendor's official site documents its own product's weaknesses, so there's no sourced basis for one — and we'd rather say that plainly than invent one.

PostHog

Pros

Product analytics and web analytics
Session replay and heatmaps
Feature flags and no-code A/B testing experiments
Surveys for in-product feedback collection
Error tracking and AI observability (traces and logs)
Customer data platform (CDP) for routing event data to other tools
Managed data warehouse for querying product data

Cons

Key differences

Google Analytics lists Cross-platform (web + app) customer journey measurement, Machine-learning-based predictive insights, Cross-platform attribution modeling, Customizable, shareable reporting, Built-in automation for measurement, Native integrations with Google Ads, Search Ads 360, Search Console, Google Cloud that PostHog doesn't list.
PostHog lists Product analytics and web analytics, Session replay and heatmaps, Feature flags and no-code A/B testing experiments, Surveys for in-product feedback collection, Error tracking and AI observability (traces and logs), Customer data platform (CDP) for routing event data to other tools, Managed data warehouse for querying product data that Google Analytics doesn't list.
Google Analytics supports iOS, Android, which PostHog doesn't list.

Choose Google Analytics if…

Choose Google Analytics if this fits: Positioned for businesses of every size, from small businesses wanting free/easy measurement to enterprises wanting analytics unified with Google's advertising platforms (Google Ads, Display & Video 360).

Choose PostHog if…

Choose PostHog if this fits: Product teams and developers at companies of any size wanting analytics, experimentation, and data infrastructure in one platform, with SDKs for Next.js, React, Python, and 20+ other frameworks/languages.

Facts on this page are sourced from each vendor's official site (linked below), not from ratings or reviews. Products change — verify anything that matters to your decision directly on the vendor's own site before switching. See our Disclaimer and Sources Policy.