The best Matomo alternatives & competitors, compared
Contents
Matomo is a well-established, privacy-first analytics platform. It's open source, self-hostable, and a natural migration path for teams leaving Google Analytics (especially those who preferred the old Universal Analytics, RIP).
But it's not for everyone. It's primarily a web analytics tool, and while it has expanded over the years, teams often find themselves reaching for additional tools as their needs grow – whether that's deeper product analytics, simpler privacy-first tracking, or a more modern interface.
If you've outgrown it or just want to compare your options, here are the best alternatives.
1. PostHog
- Founded: 2020
- Similar to: Heap, Amplitude, Pendo
- Typical users: Engineers and product teams
- Typical customers: Mid-size B2Bs and startups

What is PostHog?
PostHog (that's us 👋) is an all-in-one developer platform combining web and product analytics, session replay, experiments, feature flags, error tracking, LLM observability, user surveys, and more into one product.
This means it's not only an alternative to Matomo but also tools like Mixpanel, Amplitude, Sentry, and LaunchDarkly.
Key features
Web analytics: Monitor your web traffic by automatically capturing and calculating metrics like visitors, pageviews, session duration, and bounce rate. See the sources, entry and exit paths, channels, and more.
Product analytics: Custom trends, funnels, user paths, retention analysis, and segment user cohorts. Also, direct SQL querying for power users.
Session replays: View exactly how users are using your site. Includes event timelines, console logs, network activity, and 90-day data retention.
A/B tests: Optimize your app and website with up to nine test variations and track impact on primary and secondary metrics. Automatically calculate test duration, sample size, and statistical significance.
Error tracking: Monitor exceptions, connect errors directly to session replays and feature flag changes.
LLM observability: Track model performance, token costs, latency, and user interactions for AI-powered products. See our full AI engineering suite.
How does PostHog compare to Matomo?
Both PostHog and Matomo are multi-product platforms. The big difference between them is that Matomo focuses on websites and content, while PostHog focuses on apps and products.
Another big difference is pricing. Matomo's session replay, heatmaps, and A/B testing are paid add-ons in On-Premise, and heavily capped in Cloud. PostHog includes all of these for free – plus feature flags, error tracking, AI Observability, and more that Matomo doesn't offer at all.
Main differences between PostHog and Matomo
- Matomo has a Google Analytics importer for migrating historical GA3 and GA4 data; PostHog does not have a direct GA importer.
- PostHog is entirely usage-based with a generous free tier; Matomo Cloud is subscription-based and On-Premise requires paid plugins for most advanced features.
- PostHog has an official MCP server for AI coding tools; Matomo's MCP options are third party community projects, not officially maintained by Matomo.
- PostHog is HIPAA-ready on Cloud; Matomo Cloud cannot be made HIPAA compliant, just the self-hosted On-Premise version can.
- PostHog includes a built-in data warehouse for importing and querying data from sources like Stripe, HubSpot, and S3 alongside your analytics. Matomo can export to BigQuery but has no warehouse import or unified query layer.
Main similarities between PostHog and Matomo
- Both offer EU data hosting for GDPR compliance
- Both support cookieless tracking
- Both can replace Google Analytics for standard web analytics use cases
- Both have strong privacy-first positioning and data ownership guarantees
Why do companies use PostHog?
According to reviews on G2, companies use PostHog because:
It replaces multiple tools: PostHog can replace Matomo (web and product analytics), Fullstory (session replay), and GrowthBook (feature flags and A/B testing). This simplifies workflows and ensures product data is all in one place.
Pricing is transparent and scalable: Reviewers appreciate how PostHog's pricing scales as they grow. There's a generous free tier they can use forever. Companies eligible for PostHog for Startups also get $50k in additional free credits.
They need a complete picture of users: PostHog includes every tool necessary to understand users and improve products. This means creating funnels to track conversion, watching replays to see where users get stuck, testing solutions with A/B tests, and gathering feedback with user surveys.
Bottom line
Because PostHog has a significant amount of overlap with Matomo and a generous free tier, it makes a great alternative. This is especially true for product and engineering focused teams.
Install PostHog with one command
Paste this into your terminal and make AI do all the work.

2. Piwik Pro
- Founded: 2013
- Similar to: Matomo, Google Analytics
- Typical users: Marketing and analysis teams
- Typical customers: European enterprises in strict regulatory situations

What is Piwik Pro?
Piwik Pro is a suite of privacy respecting analytics tools. It spun out of Matomo in 2013.
Features include web, mobile, and product analytics as well as tag and consent management. It is targeted at users in a strict regulatory environment. It also has integrations with a range of marketing and content management tools like Google Search Console, Google Ads, and Wordpress.
Key features
Analytics: Create custom dashboards with trends, charts, flows, funnels, and more to analyze your analytics.
Tag manager: Manage tags, pixels, and JavaScript snippets from a range of platforms.
Consent manager: Collect and manage consent to track and use personal information. Customize and tailor banners for different situations.
Customer data platform: Integrate with other tools and capture data to have it all in one place. Send data from Piwik Pro to other tools.
How does Piwik Pro compare to Matomo?
Because Piwik Pro spun out of Matomo, they share a lot of similarities.
Since the split, Piwik Pro has grown to focus more on compliance and integration with other tools. This shows in some of the features it lacks, such as A/B testing and session replay. It also isn't open source.