Matomo vs 
Piano Analytics Matomo vs Piano Analytics: Two GA4 Alternatives Compared
Open-source vs French SaaS, CNIL compliance, features, pricing, community support. Which alternative fits your needs?
Two credible alternatives to Google Analytics
Since the CNIL’s formal notices in 2022 regarding data transfers to the United States, the European market has seen strong demand for GDPR-compliant alternatives to Google Analytics. Matomo and Piano Analytics are the two most mature solutions to address this need, but with very different philosophies and positioning.
Matomo is an open-source tool created in 2007 (under the name Piwik), maintained by an active community and a company based in New Zealand. Piano Analytics is a proprietary SaaS, heir to AT Internet, a historical player in audience measurement in France since 1996, now part of the Piano group.
CNIL compliance and consent exemption
Both tools are among the solutions that can benefit from a consent exemption under the CNIL’s recommendations. This is their main shared advantage over GA4. In exempt configuration, they allow measuring virtually all traffic without a cookie banner for the analytics component.
The exemption conditions are similar: purpose strictly limited to audience measurement, no cross-referencing with other processing, anonymization, and limited data retention. Matomo On-Premise offers total control over these parameters since data stays on your infrastructure. Piano Analytics contractually guarantees European hosting and processing exclusively on behalf of the client.
Feature and technical comparison
| Criterion | Matomo | Piano Analytics |
|---|---|---|
| Model | Open source (GPLv3) | Proprietary SaaS |
| Hosting | On-Premise or Cloud | Cloud (Europe) |
| CNIL exemption | Yes (specific config) | Yes (specific config) |
| Raw data | Direct access (MySQL DB) | Data Query (SQL-like interface) |
| Media / publishers | Basic | Native (article, author, scroll, reading time) |
| Heatmaps | Yes (premium plugin) | Not native |
| Session recordings | Yes (premium plugin) | No |
| Segmentation | Custom segments | Advanced segments and filters |
| API | Yes (complete, REST) | Yes (REST, GraphQL) |
| Integrations | Community plugins | Enterprise connectors |
| Support | Community + paid support | Dedicated support, CSM |
| Documentation | Partial in local languages | Complete, localized |
Cost and pricing model
The cost gap between the two solutions is significant. Matomo On-Premise is free (excluding hosting and maintenance). Matomo Cloud starts at approximately 23 euros per month. Premium plugins (funnels, heatmaps, A/B testing) add approximately 200 euros per year each.
Piano Analytics is positioned in the enterprise segment with pricing that generally starts around 10,000 euros annually. This price includes support, updates, hosting, and often personalized onboarding. For an SMB with a limited budget, the gap is prohibitive. For a large enterprise, Piano’s cost is justified by the quality of support and native feature richness.
Community and ecosystem
Matomo benefits from an active open-source community: forums, third-party plugins, contributive documentation. The tool is flexible and extensible, but this flexibility has a downside: plugin quality varies, and maintaining an On-Premise instance requires technical skills (PHP, MySQL, sysadmin).
Piano Analytics relies on a more closed but more structured ecosystem: certified training, comprehensive documentation, responsive support, and strong sector expertise in media and e-commerce. Integration with other Piano products (Piano Composer, Piano VX) can be an asset for content publishers.
Which choice for your profile?
For an SMB, a startup, or an organization with a tight budget and internal technical skills, Matomo On-Premise is the most rational choice. The investment is minimal and data control is total.
For a media group, a large enterprise, or an organization that values dedicated support, native granularity on editorial content, and a turnkey tool without technical maintenance, Piano Analytics remains the reference in the European market. The added cost is justified by operational time savings and analysis depth that is difficult to achieve with Matomo without specific development.