Matomo Alternative

Choose by fit

Both can support privacy-oriented measurement. The practical difference is strategic operating model: own the analytics stack yourself, or reduce customer-side code and infrastructure surface and move faster.

Capability comparison

The key decision is operating model and maintenance appetite.

	onEco +Analytics Pro	Matomo
Operating model	Human and agentic operations layer: analytics, diagnostics, and issue flow in one product	Analytics platform you can run and extend yourself
AI agent access	Native MCP server for agent workflows	No native MCP product surface
API surface	REST API + MCP	Tracking and reporting APIs plus plugins; no native MCP
Hosting and control	Managed EU platform with reduced customer-side code and infrastructure surface	Strong self-host governance and in-house control profile
Operational burden	Lower infrastructure and plugin lifecycle ownership	Infrastructure, upgrades, and plugin lifecycle stay with your team
Diagnostics scope	Built-in quality, security, accessibility, privacy, and carbon checks	Broader diagnostics generally require adjacent tools/plugins
Action after insight	Operational follow-through is in-product	Execution often depends on separate process/tool layers
Best-fit profile	Teams optimizing execution speed and reduced customer-side operations	Teams prioritizing self-host-first analytics architecture

Decision guide

Pick by operating constraints and execution speed requirements.

Choose onEco

when insight-to-remediation speed is the recurring bottleneck.

Choose Matomo

when owning the analytics stack yourself is a strategic requirement.

Decide by maintenance and attack-surface ownership

when both products fit and the customer-side code and infrastructure surface differs between teams.

Frequently Asked Questions

We self-host Matomo today. How does a switch change operational ownership?

Then the decision is operating strategy, not a missing checkbox. With +Analytics Pro, infrastructure, updates, and plugin lifecycle leave your environment. That can reduce maintenance and attack surface in your environment, but it also means your team no longer runs the analytics stack itself.

Does +Analytics Pro match Matomo plugin extensibility?

The model is different. +Analytics Pro bundles diagnostics (quality, security, accessibility, privacy, carbon) inside the product rather than via plugins. If current value hinges on specific Matomo plugins, validate parity before switching.

Can we keep our raw-data ownership expectations?

+Analytics Pro processes data on managed EU infrastructure with documented processing terms. Self-host-level raw-data ownership is a Matomo-specific architectural choice and does not carry over directly. If that ownership model is non-negotiable, keep it as an explicit architecture requirement.

How do we justify a switch to stakeholders who chose Matomo for privacy reasons?

Both products are privacy-first. The difference is operating model: Matomo prioritises in-house stack ownership; +Analytics Pro prioritises managed execution with less customer-side code, infrastructure, and attack surface. Frame the decision as stack ownership vs operational focus, not as a privacy tradeoff.