Matomo is an open-source web analytics solution with full data ownership. It is self-hostable, widespread in the DACH public sector, and can be configured cookieless.

Plausible is lighter and more modern but aggregated. Matomo offers more features and data ownership but has a dated UI. Both are self-hostable in the EU.

Does Matomo scale for high volumes?

At very high event volumes the architecture hits its limits. Then the path goes through Snowplow into the warehouse or a specialised analytics.

Matomo Integration & Setup

The open-source classic and darling of the DACH public sector. 100% data ownership, but a dated interface that struggles with massive event volumes.

What is Matomo?

Open-source classic, darling of the DACH public sector. 100% data ownership, UI a bit dated. We integrate it cleanly into your data architecture and draw a clear boundary to the alternatives.

When it fits, and when it doesn't

A fit when:

full data ownership and self-hosting matter
the public-sector context calls for it
aggregate to mid granularity is enough

Less so when:

massive event volumes are involved
a modern UI is a priority
product-level analysis is needed

What Datascale builds with Matomo

We decide the architecture, then build:

self-hosted setup in the EU region
cookieless configuration where possible
goal and event tracking
a clear boundary to Plausible and Piwik PRO
operation and updates

The full picture lives in the matching service. We integrate and implement Matomo where it's the best fit for your case, not as an end in itself. Related: Audit Sprint.

Matomo: Integration and Data Architecture

What is Matomo?

When it fits, and when it doesn't

What Datascale builds with Matomo

Topical context