You’ve decided to take control of your analytics data—but now you face a critical decision: Cloud or on-premise?
When choosing an analytics platform, the decision isn’t just about features. It’s about who controls the data and where it’s stored. How easily the tool is used across teams. And whether it supports compliance requirements without adding unnecessary complexity.
Matomo offers two deployment options:
- a fully hosted cloud version and
- a self-managed on-premises version.
Both provide you with complete ownership of your data and strong privacy protections. However, there are differences in governance, flexibility, and technical demands.
In highly regulated industries like healthcare analytics, data can contain sensitive personal information. Because of this, organisations often choose the on-premises option to keep everything in-house.
Companies working with less sensitive marketing or website data typically choose the Cloud version. They appreciate the ease of deployment and minimal maintenance requirements.
In this post, I’ll walk you through the key benefits and limitations of each option.
The goal is to help you select the deployment method that best aligns with your priorities.
| Feature | Matomo Cloud | Matomo On-Premise |
|---|---|---|
| Setup & Maintenance | Handled by Matomo | Handled by your IT/DevOps |
| Updates & Security | Automatic | Manual |
| Cost Structure | Monthly subscription | Lower software cost, higher ops |
| Customisation | Limited | Full flexibility |
| Compliance (Sensitive Data) | Not always compliant | Full control |
It’s not about what’s possible – it’s about what’s practical
From a technical standpoint, both Matomo Cloud and On-Premise are viable options.
If your team can install a tracking code and use a tag manager, you’re good to go. And if you have DevOps support, running Matomo on-premises is entirely feasible.
The real question is: where do you want to spend your time and energy?
With Cloud, infrastructure, updates, and scaling are taken care of. With On-Premise, you gain control and flexibility—but also take on full responsibility for hosting and maintenance.
Some teams value simplicity and speed; others prioritise autonomy and data governance. One isn’t inherently better than the other—but one is likely a better fit for your context.
On-Premise gives you flexibility—but at a cost
At first glance, Matomo On-Premise can seem like the more affordable option. After all, the core platform is open source and free to use.
But that’s only part of the story.
Running analytics on your own infrastructure means someone has to:
- set up servers
- manage updates
- handle backups
- monitor performance
- and ensure security
That operational load adds up. In many cases, infrastructure and maintenance costs can exceed the price of a managed SaaS subscription.
Matomo Cloud, by contrast, is a predictable monthly cost that includes hosting, updates, support, and all premium features. For many organisations, the convenience and lower operational overhead justify the subscription fee.
Who’s running your infrastructure – and how specialised are they?
Hosting Matomo on-premises means your team is in charge of stability, security, and performance—especially as your data and traffic grow.
Your DevOps team may be excellent at what they do, but they likely aren’t Matomo experts.
The team behind Matomo Cloud manages large-scale deployments as their core business. They know how to scale storage, tune archiving jobs, handle peak loads, and roll out updates smoothly.
Unless you have a dedicated in-house engineering team familiar with Matomo, handing this off to a specialist team often results in more stable and secure performance—and frees your team to focus on insights and decision-making instead of server management.
Matomo is open source – but is that a real benefit?
Matomo’s open-source nature is a strong point, especially for governments and public institutions that prioritise transparency, data ownership, and vendor independence.
Technically advanced teams can audit or modify the code. But for most organisations, that freedom is rarely used in practice.
Still, open source provides long-term value: no vendor lock-in, more control over hosting, and insulation from sudden product or pricing changes. How valuable that is depends on your technical capacity and philosophy toward independence.
Data storage: sometimes “full control” isn’t optional
For some organisations, using a third-party cloud provider isn’t even an option.
In certain sectors—especially public, healthcare, or finance—data protection authorities or internal compliance policies may require that all analytics data remain fully under your organisation’s control.
That’s where On-Premise becomes not just preferable, but mandatory.
With On-Premise, you choose where data is stored, how long it’s retained, and who can access it—without involving external processors or foreign-owned infrastructure.
While Matomo Cloud is hosted in the EU and GDPR-compliant, it still involves InnoCraft as a data processor and US-owned cloud platforms. That’s acceptable for most organisations—but not all.
If your compliance team says, “The data must stay under our roof,” On-Premise is your best—and perhaps only—option.
What can go wrong with On-Premise?
On-premise gives you control—but that control comes with responsibility, and sometimes risk.
- Once, after the DevOps specialist had left a client company, Matomo stopped working due to a “disk full” error. Because they were part of the public sector, fixing it required going through a formal tender process to bring in new technical help. It took months to recover analytics operations.
- In another case, routine updates, backups, and incident handling regularly triggered external DevOps costs. Every task, like applying a patch or restoring a backup, meant a new service order and invoice. Over time, these added up to a substantial unplanned expense.
If your organisation isn’t prepared to take full technical ownership, On-Premise can become fragile and costly.
What you don’t get with Cloud
While Matomo Cloud is convenient and low-maintenance, some advanced capabilities are intentionally limited.
Here’s what you can’t do (or only partially do) with the cloud version:
- No direct database access
You can’t query your raw analytics data. While there’s a paid option to export to BigQuery, it’s not the same as having full SQL access. - No custom plugin development
You’re limited to the plugins available in the Marketplace. If your team wants to build a custom integration or tracking logic, that’s only possible with On-Premise. - No contribution to translation improvements
With On-Premise, you can adjust or enhance language files. With Cloud, you’re restricted to the translations provided by Matomo.
In short, if your team wants to customise the platform deeply or access the full data layer, the Cloud version may feel like a walled garden.
Summary: How to decide between Matomo Cloud and On-Premise
Still unsure which version is the better fit? Use these simple decision rules as a starting point:
Choose Matomo Cloud if…
- You want to get started quickly with minimal technical setup
- Your team doesn’t have in-house DevOps capacity
- You prefer predictable monthly costs with all premium features included
- Your compliance requirements allow using a third-party processor hosted in the EU
- Your main analytics use cases involve marketing data and website optimisation, not sensitive personal data
Choose Matomo On-Premise if…
- Your data includes (or may include) special categories of personal data (e.g. health, political, union-related)
- Your DPO or compliance team requires complete data storage and processing control
- You need deep customisation or want to install custom or third-party plugins
- You have access to DevOps or IT resources to manage updates, hosting, and backups
- You value independence from SaaS platforms and want complete flexibility over infrastructure
If you’re still between the two, ask yourself:
Are we optimising for speed and simplicity—or control and compliance?
That usually points you in the right direction.
At the end of the day, the best platform is the one your team will actually use. Whichever path you take, make sure it supports your long-term goals—not just your short-term needs.