Open-Source Analytics: The Real Pros and Cons
Self-hosting analytics buys control and costs operations. A balanced look at open-source options versus managed cookieless services.
Open-source analytics carries a moral glow: your data on your hardware, code you can audit, no vendor to trust. All true — and all routinely conflated with claims that are not true, like 'self-hosting is automatically more private' or 'free software means free analytics'. Having competitors we respect on both sides of this line (Plausible and Umami open-source; Fathom and us managed-only), here is the un-romantic breakdown.
The real pros
- Data sovereignty, literally. The bytes sit on infrastructure you control. For regulated environments that mandate on-premise processing, this is not a preference — it is the requirement, and it ends the debate.
- Auditability. You can read what the tracker collects rather than trusting documentation. (You can also read what managed tools send over the wire — but source access is stronger.)
- No per-event pricing. Costs scale with infrastructure, not vendor tiers — favorable at very high volume.
- Exit insurance. A project losing its maintainers is bad; a vendor shutting down is worse. Forks exist.
The real cons
- You become the ops team. Updates, backups, database growth, scaling, and security patching of an internet-facing app — permanently. The Matomo archive-cron that silently died in July is a genre of incident, not an anecdote (we wrote the decommissioning guide).
- Privacy is the configuration, not the license. A self-hosted instance with sloppy IP handling is less private than a managed cookieless service with data minimization by design. The license guarantees code access; it guarantees nothing about your setup.
- Feature velocity favors the funded. Identity joins, webhook revenue attribution, per-visit performance capture — sustained product work tends to live where revenue does. Self-hosted counters stay counters.
- The TCO illusion. 'Free' costs a VM, monitoring, upgrade weekends, and the salary-hours of whoever owns it. At small-site scale, that bundle usually exceeds a free managed tier by an order of magnitude.
A decision rule that survives contact with reality
- Hard on-premise mandate? Self-host (Matomo or Umami). Done.
- Ops capacity as a genuine surplus — a team that enjoys running services and very high event volume? Self-hosting can be economical.
- Everyone else: the question is not open vs closed but which architecture minimizes data collection. Cookieless managed analytics achieves the privacy outcome — no persistent identifiers, nothing sensitive to breach — without acquiring a second job. That is the deliberate trade behind Clycyo being managed-cloud only, and we would rather state it than blur it.
Verification without source access
You can hold a managed vendor accountable: watch the network tab (one small request per event, inspectable payload), read the privacy policy for retention specifics, and prefer vendors who publish live — our own dashboard is public at /open precisely so the claims are checkable. Trust, but packet-capture.