---
title: "Countly vs Matomo: beyond web analytics, still self-hosted"
description: "Both open source, both self-hostable. Matomo is web analytics; Countly covers mobile, web, desktop and connected devices, with engagement and AI."
url: https://countly.com/compare/matomo
last_modified: 2026-11-06
---

Countly vs Matomo

# Countly or Matomo. Where should your data live?

Both can be self-hosted, and both are open source. The difference is scope: Matomo is mostly web analytics; Countly is product intelligence across mobile, web, desktop and connected products, with engagement and AI built into the same platform.

Side by side

## The differences that decide

Deployment model, data residency, what is built in and how it is priced. Feature-by-feature comparisons change every quarter; these do not.

Aspect Matomo Countly

Deployment Cloud or self-hosted Self-hosted or private cloud (dedicated)

Focus Web analytics Mobile, web, desktop product analytics

Engagement built in No Push, in-app, journeys, experiments, surveys

Behavioral analytics Aggregated reports Raw events in the product, by user

AI Not a focus Cee, AI analyst; product agents can run inside your infrastructure

Open source Yes Countly Lite and SDKs on GitHub

Matomo is a trademark of InnoCraft Ltd. Comparison based on publicly available information as of October 2026; features may change. Tell us if something is out of date.

FAQ

## Questions about Countly and Matomo

A straight answer to the question teams ask first. For anything else, talk to us.

**Is Countly an alternative to Matomo?**

Yes. Both can be self-hosted and both are open source. Matomo focuses on web analytics; Countly covers mobile, web, desktop and connected products, and adds Journeys, push, in-app messages, surveys, experiments and Cee, the AI analyst.

Migration

## Moving from Matomo to Countly

Tracking plans translate one to one; historical data can be imported through the API. Most teams run both in parallel for one release cycle.

Talk to us about migration

- 01 Map Events and properties mapped to a Countly schema in the Data Manager.
- 02 Instrument Countly SDK added next to the existing one; both run in parallel.
- 03 Import Historical events and profiles imported through the API where needed.
- 04 Switch Dashboards rebuilt, engagement moved, old tool retired.
Other comparisons

## Countly against the rest

The same architectural questions, asked of the other tools teams usually evaluate.

- Countly vs Amplitude
- Countly vs Mixpanel
- Countly vs Google Analytics
- Countly vs Heap
- Countly vs PostHog