Matomo vs PostHog
They differ on 4 of the 14 things buyers in this category actually ask about. Here is where, and what each one asks you to give up.
Matomo
$26The full-featured open-source alternative to Google Analytics, self-hostable end to end.
Strongest argument
Self-hosted means you own 100% of the data, with no sampling
Biggest objection
Self-hosting a high-traffic instance is a real infrastructure commitment
Total data ownership, paid for with the operational work of running it yourself.
PostHog
UsageProduct analytics, session replay, feature flags and experiments in one open-source platform.
Strongest argument
Replaces four separate subscriptions — analytics, replay, flags and experiments
Biggest objection
Usage-based pricing across several products makes the bill hard to predict
Consolidates a whole toolchain, at the cost of a bill with several independently growing lines.
The differences that matter
Where they actually diverge
Only the rows where the two disagree. Everything they both do is listed below.
Cost
What each costs at 50 people
List price only. It ignores add-ons, seat minimums and the cost of the move itself — all of which routinely dwarf the difference below.
Prices are unverified estimates — useful for comparing orders of magnitude, not for budgeting. Confirm the current figure with the vendor before you commit to anything.
Common ground
What both of them do
These will not help you choose — which is exactly why they are worth knowing about before a vendor pitches one as a differentiator.
- Session replayYes
- Funnels and retentionYes
- Real-time reportingYes
- Raw data exportYes
- SAML single sign-onYes
- EU data residencyYes
- Self-hostableYes
- Open sourceYes
- Public APIYes
- Native mobile appsNo
In full
Every pro and con, both sides
Matomo
- Self-hosted means you own 100% of the data, with no sampling
- Feature parity with GA including heatmaps, replay and A/B testing
- Can be configured to run without cookies and without consent
- Self-hosting a high-traffic instance is a real infrastructure commitment
- Many capabilities are paid plugins on top of the free core
- The interface inherits Google Analytics’ complexity along with its features
PostHog
- Replaces four separate subscriptions — analytics, replay, flags and experiments
- Generous free tier that real products can run on for a long time
- Open source and self-hostable, so data residency is your decision
- Usage-based pricing across several products makes the bill hard to predict
- Aimed at product teams — marketers will find it unfamiliar
- Self-hosting is only supported at meaningful scale on Kubernetes
Questions
Matomo vs PostHog, answered
Matomo or PostHog — which is better?
Neither, in the abstract. Matomo suits you if self-hosted means you own 100% of the data, with no sampling matters most; PostHog if replaces four separate subscriptions — analytics, replay, flags and experiments does. The honest trade-offs are: Matomo — Total data ownership, paid for with the operational work of running it yourself. PostHog — Consolidates a whole toolchain, at the cost of a bill with several independently growing lines.
Is Matomo cheaper than PostHog?
At least one of them is priced on usage rather than headcount, so there is no honest like-for-like figure. Model both against your own volume — contacts, events or tickets — before comparing, because the headline numbers measure different things.
Can we migrate from Matomo to PostHog?
Usually yes, and the difficulty depends on history, integrations and headcount far more than on the two products. Data export quality is the thing to check first: ask both vendors what you can take with you before you commit to either. Our questionnaire produces a scoped estimate for the move.
What else should we consider besides Matomo and PostHog?
In product & web analytics the other credible options are Fathom Analytics, Google Analytics 4, Plausible. Narrowing to two before you have written down your requirements is the most common way to end up with the wrong one.
Do not stop at two