惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
News | PayPal Newsroom
云风的 BLOG
云风的 BLOG
GbyAI
GbyAI
Engineering at Meta
Engineering at Meta
B
Blog RSS Feed
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
The Register - Security
The Register - Security
L
LangChain Blog
A
About on SuperTechFans
S
Schneier on Security
博客园 - 三生石上(FineUI控件)
Stack Overflow Blog
Stack Overflow Blog
The Hacker News
The Hacker News
AWS News Blog
AWS News Blog
博客园 - 司徒正美
Scott Helme
Scott Helme
K
Kaspersky official blog
Cyberwarzone
Cyberwarzone
T
Tenable Blog
腾讯CDC
Recorded Future
Recorded Future
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
G
GRAHAM CLULEY
Security Latest
Security Latest
S
Securelist
D
Darknet – Hacking Tools, Hacker News & Cyber Security
aimingoo的专栏
aimingoo的专栏
Google DeepMind News
Google DeepMind News
V
Vulnerabilities – Threatpost
雷峰网
雷峰网
T
The Exploit Database - CXSecurity.com
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
V
V2EX
T
The Blog of Author Tim Ferriss
D
Docker
S
Security Affairs
F
Full Disclosure
Know Your Adversary
Know Your Adversary
N
News and Events Feed by Topic
N
News and Events Feed by Topic
T
Tor Project blog
Hugging Face - Blog
Hugging Face - Blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Microsoft Security Blog
Microsoft Security Blog
Simon Willison's Weblog
Simon Willison's Weblog
Recent Announcements
Recent Announcements
博客园_首页
博客园 - 聂微东
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
S
Security @ Cisco Blogs

PostHog's RSS Feed

Training our own AI models - PostHog From 270GB RAM to 5GB: Moving local flag evaluation from Django to Rust The best analytics stack for vibe-coded apps The do's and don'ts of minimum viable product marketing - PostHog The best MCP servers for startups, by workflow 4,063 errors closed without a human opening PostHog – here's what we learned - PostHog PostHog Code and the self-driving product - PostHog Why attacking your competitors online is dumb - PostHog The best real-time analytics platforms for developers, compared DuckDB vs ClickHouse: Why we use both at PostHog - PostHog PostHog's next chapter - PostHog Making Claude Cowork actually useful - PostHog PostHog vs Matomo in-depth tool comparison You're doing lifecycle emails wrong Untangling Tokio and Rayon in production: From 2s latency spikes to 94ms flat The best HIPAA-compliant A/B testing tools - PostHog A beginner's guide to testing AI agents - PostHog I hate the standup bot (so I built an agent to do it for me) - PostHog The best CDPs for developers, compared The best error tracking tools for developers, compared The best feature flag software for developers, compared 7 best session replay tools for mobile apps 7 best free open source business intelligence tools right now 7 best free and open source LLM observability tools PostHog vs LogRocket in-depth tool comparison The most popular PostHog alternatives, compared Open source (and self-hosted) session replay tools - PostHog The 9 best GA4 alternatives for apps and websites - PostHog How we built automatic clustering for LLM traces - PostHog The 7 best HIPAA-compliant analytics tools 8 best open source analytics tools you can self-host - PostHog The best product analytics tools for startups, compared PostHog vs FullStory in-depth tool comparison The best in-app survey tools for product teams, compared The 7 best mobile app analytics tools PostHog vs Hotjar in-depth tool comparison The 8 best free and open-source feature flag services - PostHog The 5 best free and open-source A/B testing tools - PostHog The best mobile app A/B testing tools, compared What is a feature flag? Feature Flags vs Remote Config vs A/B Testing PostHog is now available in Vercel’s v0 The best Heap alternatives & competitors, compared PostHog vs Heap in-depth tool comparison PostHog vs Pendo in-depth tool comparison PostHog × Vercel: feature flags, minus the plumbing Your logs' final destination is in GA. You always end up here anyway Behind the scenes of a PostHog hackathon - PostHog The most popular Mixpanel alternatives & competitors, compared PostHog vs Mixpanel in-depth tool comparison The 9 best GDPR-compliant analytics tools How we use Logs at PostHog The best web analytics tools for developers, compared Stop AI slop: Run evals with LLM-as-a-Judge - PostHog You product data just got a job: Workflows is now out App onboarding: How to fix drop-off points Meet Logs (beta) – logs with all the tools you’re already using Why small teams crush tiger teams How we built user behavior analysis with multi-modal LLMs (in 5 not-so-easy steps) - PostHog The best Contentsquare alternatives & competitors, compared 8 learnings from 1 year of agents – PostHog AI - PostHog Why we killed our AI product assistant Workflows graduate to beta! Product data, meet automation The best Rollbar alternatives & competitors, compared Workflows are now in Alpha and I already broke mine - PostHog I've consistently underestimated how important communication is as a CEO - PostHog How we made feature flags even faster and more reliable The best session replay tools for developers, compared What I learned attending my first ever hackathon - PostHog Did you know AI is answering our community questions? - PostHog How not to be boring - PostHog We built an internal tool to generate changelog images for social media - PostHog What we built at our windswept Mykonos hackathon - PostHog How we built our onboarding email flow (with actual performance data) - PostHog We're building a better PostHog community by closing our public Slack - PostHog Introducing Notebooks for PostHog - PostHog Why we've launched PostHog user surveys - PostHog How we made feature flags faster and more reliable - PostHog In-depth: ClickHouse vs Redshift - PostHog Introducing HouseWatch: An open-source toolkit for ClickHouse - PostHog Introducing HogQL: Direct SQL access for PostHog - PostHog What we built at our sun-kissed Aruba hackathon - PostHog In-depth: ClickHouse vs BigQuery - PostHog In-depth: ClickHouse vs Elasticsearch - PostHog HogMail #22: Why do companies over-hire?" - PostHog Our simpler goal: Help engineers to be better at product - PostHog In-depth: ClickHouse vs Snowflake - PostHog HogMail #21: Avoiding the "Product Death Cycle" - PostHog Sunsetting Kubernetes support for PostHog - PostHog Why 'Product Engineer' is the most fun role I've had in tech - PostHog HogMail #20: Why do startups fail? - PostHog The best Google Optimize alternatives for apps and websites - PostHog Array 1.43.0: Massive performance improvements! - PostHog In-depth: ClickHouse vs Druid - PostHog HogMail #19: Which meetings should you kill? - PostHog CEO diary: The things I learned in 2022 - PostHog The essential tools used by product engineers - PostHog HogMail #18: What can SaaS learn from the New York Times? - PostHog What is a product engineer? - Product Engineer Handbook - PostHog Array 1.42.0: Get beta features via our roadmap! - PostHog HogMail #17: The personal traits that can't be taught - PostHog
PostHog vs Google Analytics 4 in-depth tool comparison
Lior Neu-ner · 2026-03-13 · via PostHog's RSS Feed

PostHog and Google Analytics 4 (GA4) are both popular tools for understanding how users interact with your website or app – but they're built with very different goals.

GA4 is designed to track traffic, campaigns, and user behavior across websites and apps, with tight integration into Google's advertising ecosystem. It's one of the most widely deployed analytics tools in the world, and the default choice for teams who want marketing and attribution data in a familiar interface.

PostHog is an all-in-one developer platform that combines all the tools developers need in one place, with a single login and a single contract.

If you're looking for a GA4 alternative – whether for privacy reasons, because you need more than web analytics, or because you've outgrown GA4's free tier limits – this comparison will help you decide if PostHog is the right fit.

How is PostHog different?

1. We're an all-in-one platform

PostHog combines product analytics and web analytics with session replay, feature flags, error tracking, experiments, surveys, a baked-in data warehouse, and more into one tightly integrated platform. Everything you need from a single app with a single contract. A genuine single source of truth for your product and customer data.

GA4 is a powerful web analytics tool, but it doesn't include session replay, feature flags, A/B testing, error tracking, or surveys. For those features, you'd need separate tools like FullStory, LaunchDarkly, and Optimizely, and a way to stitch the data together.

2. It's built for developers

This means you get support from the engineers who actually build the product, extensively documented APIs, an MCP server for querying your data directly from AI coding tool, and a SQL query builder so you can analyze data how you want.

We're open source, so you can inspect our source code. And we ship fast – check out the weekly changelog to see what's new.

GA4 is primarily designed for marketers and growth teams. It integrates tightly with Google Ads and the broader Google Marketing Platform, but offers limited developer-facing tooling.

3. Transparent and cheap pricing (forever)

We default to charging as little as possible while still making a profit – we also have a generous free tier on all our products. We can do this because we're efficient. We don't splurge on D-list comedians to host an annual convention you'll never attend. Want to know how much we'll charge? See our pricing calculator.

GA4's core product is free, but once you hit the limits of the free tier you'll need to evaluate GA360, which starts at approximately $50,000/year according to third party sources (Google doesn't publish pricing).

Comparing PostHog and Google Analytics

Analytics

GA4 is primarily built for web analytics, so this is where the comparison matters most. PostHog's web analytics dashboard covers all the core metrics – traffic sources, pageviews, sessions, UTM tracking, and more – while also adding capabilities GA4 lacks, like cookieless tracking and web vitals monitoring.

PostHog goes significantly deeper on product analytics – including features like group analytics for analyzing behavior at the account or company level (ideal for B2B SaaS), SQL queries, correlation analysis, and more.

You can also go deeper on user behavior by utilizing heatmaps, scrollmaps, formulas, and the custom SQL insights.

Does PostHog have reports, dimensions, and other GA4 features?

Yes, PostHog has much of the same functionality as Google Analytics, but we use different terminology. Here’s a quick comparison of the two:

GA namePostHog equivalent
ReportInsightQuery and filter analytics data and visualize results. Types include trends, funnels, retention, and more.
DimensionsPropertiesAdditional details added to events, persons, and groups such as location, browser, and status.
ViewDashboardA collection of insights displayed together.
AudiencePersonsRepresents a user or set of users who create events, potentially filtered by properties or behaviors.
SegmentFilterA way to create a subset of your data.
Goals and conversionsActionsAn event or collection of events representing a target behavior.
Client IDDistinct IDA unique identifier for a user.
Measurement IDProject TokenThe unique identifier for your project, used to send data to your PostHog instance.

See our guide to PostHog for Google Analytics users for more help on making the switch.

Platform

When you choose PostHog, you get more than analytics.

Integrations

It's hard to import data into Google Analytics because:

  1. The data type and format you're allowed to import is restrictive.
  2. You either need to constantly upload CSV files manually, or set up an SFTP server to automatically do this for you.

In contrast, PostHog is built to be your single source of truth, so it's simple to import data from other sources using our built-in data warehouse, or send PostHog data to other tools using our realtime destinations.

Below is a comparison of some of the most popular apps – see our data pipeline and warehouse docs for a complete list of integrations.

Security and compliance

PostHog makes GDPR compliance easy by letting you choose where your data is hosted: EU or US.

Google also offers various privacy controls, but you can't choose where your data is stored – a meaningful concern for teams in regulated industries or those serving EU users.

When to choose PostHog vs Google Analytics 4

Recommendations by team type

For engineering-led product teams

  • PostHog – SQL access, MCP server, open-source codebase, error tracking, and AI Observability. Everything a developer needs to understand users, ship features, and debug problems without leaving the platform.

For marketing and growth teams

  • GA4 – Best-in-class integration with Google Ads, Search Console, and Google's attribution ecosystem. If your team lives in Google's marketing stack, GA4 is the natural fit.

For product managers and UX teams

  • PostHog – Funnels, retention, session replay, and surveys in one place means PMs can answer behavioral questions and gather user feedback without stitching together multiple tools.

For B2B SaaS companies

  • PostHogGroup analytics enables account-level analysis, so you can understand behavior at the company level, not just the individual user level.

For privacy-conscious and regulated organizations

  • PostHogEU hosting with data stored exclusively in the EU, HIPAA-readiness, cookieless tracking, and raw data access via the built-in data warehouse. GA4 doesn't offer HIPAA compliance or EU-only data residency.

For content and media sites

  • GA4 – If your primary need is understanding content performance, audience demographics, and ad revenue attribution across a high-traffic publishing site, GA4's native integrations with Google AdSense, Ad Manager, and Search Console are hard to beat.

For early-stage startups

For enterprise teams

  • Tied – GA360 offers unsampled reporting, 50-month data retention, and deep Google Marketing Platform integration for large marketing organizations. PostHog offers SSO enforcement, a BAA for HIPAA compliance, priority support, and a complete product development stack with transparent pricing.
How much do PostHog and Google Analytics cost?

Google Analytics 4 is free for most users. However, there are limits: GA4 free caps data retention at 14 months, applies data sampling to large exploration queries (over 10M events), and limits the BigQuery export to 1 million events per day.

For teams that consistently hit these limits, Google Analytics 360 (GA360) is the enterprise tier. Pricing isn't publicly listed – it's sold through Google's reseller network and can land at anywhere from 50-150k+/year.

PostHog uses transparent, usage-based pricing. It's free to get started – no credit card required. Every month you get 1 million analytics events, 5,000 web session replays, 1 million feature flag requests, 1,500 survey responses, and more for free.

After the free allowance, you pay only for what you use, with pricing that scales down at volume. You can set per-product billing caps to avoid surprises.

Does PostHog offer a free trial?

With PostHog, it's free to get started – no trial needed. You get a generous monthly free allowance of events, replays, feature flag requests, and more. If you stay within those limits, PostHog is free forever.

See our pricing page for the full breakdown.

Can I migrate from Google Analytics to PostHog?

Yes – see our Google Analytics to PostHog migration guide for step-by-step instructions. You can also run PostHog alongside GA4 during a transition period, since both can be deployed simultaneously.

Does PostHog block bots by default?

Yes, PostHog automatically filters known bots from your event data. See the full blocklist in our docs.

In GA4, bot filtering is also on by default, but the filter lists differ – this can cause discrepancies between the two tools.

What about ad blockers?

We recommend deploying a reverse proxy, which lets you send events to PostHog using your own domain. Events sent from your own domain are far less likely to be intercepted by tracking blockers, giving you more complete data.

We have reverse proxy setup guides for AWS CloudFront, Caddy, Cloudflare, Netlify, Vercel, Railway, and more.

Does PostHog have session replay?

Yes. PostHog includes session replay with console logs, network request monitoring, a DOM explorer, performance metrics, and AI-powered session summaries – built for debugging as much as UX analysis.

GA4 does not include session replay.

Does PostHog have feature flags and A/B testing?

Yes. PostHog includes both feature flags and experiments natively, tightly integrated with analytics and session replay. GA4 does not offer either of these features.

Does GA4 support BigQuery export for free?

Yes – as of recent updates, GA4 includes a free native BigQuery export, capped at 1 million events per day. This is a significant improvement over the historical restriction that required GA360. If you exceed 1 million events/day, you'll need GA360, which removes the daily cap.

Not that you asked, but PostHog also has a BigQuery batch export.

Is PostHog GDPR-compliant and HIPAA-compliant?

Yes. PostHog offers EU-hosted cloud with data stored exclusively in the EU, HIPAA-readiness (with BAA available on platform packages), cookieless tracking, and SOC 2 certification.

GA4 does not support HIPAA and doesn't offer EU-only data residency.

Are there discounts for non-profits and startups?

Yes. Non-profit organizations can contact our team and are typically eligible for a discount.

Startups can apply for $50,000 in free credits (plus additional perks) through the PostHog for Startups program.

What are the best alternatives to Google Analytics in 2026?

The top GA4 alternatives include:

  • PostHog – Best all-in-one platform for product and engineering teams wanting analytics, replay, feature flags, experiments, and more together
  • Plausible – Best lightweight, privacy-focused option for simple web analytics
  • Matomo – Best self-hosted GA alternative with full data ownership
  • Amplitude – Best for marketing-led teams needing advanced product analytics and MTU-based pricing
  • Mixpanel – Best for product teams wanting event-based analytics with a clean UI

See our full guide to GA4 alternatives for more options.