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Cloud CMMS vs. on-premise server

What changes when your maintenance system runs in the cloud: infrastructure cost, field access, updates, and what to ask about your data.

Updated on 5 min read

  • Cloud
  • Costs
  • Comparison
  • Security

For years, deploying maintenance software meant buying a server. Today both models coexist, and the difference is not just where the machine sits: it changes the cost, who takes on the technical upkeep, and — most importantly — where you can work from.

Here is the comparison, without the adjectives.

What disappears with the cloud

The server and its upkeep. Hardware, backups, security updates, monitoring, and the person who does it. It is a recurring line item that is almost never in the initial price comparison, because it does not show up in the software quote.

Per-seat installation. You log in from the browser. When someone new joins, there is nothing to install.

Version migrations. On an installed system, upgrading is a project: it has to be planned, tested, and the risk assumed. And if it is postponed too long, the classic problem appears — being stuck on a version with no support.

What appears instead

Depending on the connection for the backend. Anyone working from the office needs internet. In practice this is a minor issue today, but it is worth saying.

A recurring fee instead of an upfront investment. It is not necessarily more expensive — quite the opposite, once you add up the items above — but it is a different kind of expense and is treated differently in accounting.

Less control over when it updates. Improvements arrive when they arrive. For most people that is an advantage; for anyone with very rigid processes, something to ask about.

What does not change with the cloud, and matters most

Here is the nuance almost nobody explains: being in the cloud does not solve field work.

Maintenance happens in basements, warehouses, plant rooms, and elevators — exactly where there is no coverage. A cloud system accessed through a browser on a phone is useless there.

What works is an app with real offline mode: the technician app stores work orders, assets, and documents on the device itself, and every action taken without coverage — changing status, logging hours, consuming material, filling in a checklist, capturing a signature — goes into a queue that empties once signal is recovered. If one fails, it stays flagged with its reason instead of vanishing.

Cloud and offline mode are two different things, and you need both. It is worth asking about them separately in any demo.

What the cloud does enable

Letting the client in. With their own access they can open incidents with a photo, track their work orders, download reports, and see upcoming preventive maintenance. On a system installed on an internal network, this means opening access from outside, which is a project in itself.

Letting subcontractors in. Same reasoning, and a detail of the pricing model matters here: if the software is billed per user, giving access to clients and vendors becomes a financial decision. In GMAO Cloud, licenses are unlimited across all three plans.

Several sites with a single system. Without duplicating installations or consolidating data by hand.

The questions to ask about your data

This is the part worth not skipping, because it is where the real risk of the cloud lies.

How do I get my data out if I leave? Without full export or an API, the system ends up being expensive to abandon. GMAO Cloud has a public REST API and SQL connection.

What happens if I delete something by mistake? In GMAO Cloud, deletion is logical, not physical: whatever is deleted can be recovered. And there is a record of who created, modified, or deleted each item.

Who can see what? Access by role and document-by-document visibility — client, technician, vendor — configured once.

And a note of caution about what cannot be claimed: no software guarantees compliance with a data protection regulation. What can be described are the controls that exist. Be wary of anyone selling a seal where they should be describing a control.

What to check about availability

A cloud system introduces a new dependency, and it is worth handling it with specific questions rather than promises.

What happens if the service is unavailable. The honest answer is not “never happens” — it is what alternative you have in the meantime. And here offline mode becomes the key again: if technicians can keep working with their downloaded work orders and sync afterward, an outage stops being an operation stopper and becomes a nuisance.

How often backups are made and how long it takes to restore.

What happens to the data if the relationship ends. Not just whether there is an export, but for how long the data remains available.

None of those three is answered with an availability percentage on a slide. They are answered by describing the procedure.

How to compare the real cost

The honest comparison is not fee versus license. It is this:

Installed model: upfront license + server + backups + security updates + hours of whoever maintains it + version migrations + per-user cost, if any.

Cloud model: a fee.

And in both cases, the item that is most underestimated: the implementation work, which is the same regardless of the model. Registering assets, defining maintenance plans and their frequencies, and getting the team used to logging work from the field.

There is a breakdown of pricing models in how to choose the best CMMS.

When an installed system can still make sense

For honesty’s sake: there are cases.

When there is an explicit requirement that data cannot leave your own infrastructure, when you work in an environment with structurally unreliable connectivity, or when you already have an IT team and infrastructure is part of your operation regardless.

Outside those cases, it is common for the cost of maintaining the server to exceed the fee sooner than expected, and for updates to keep being postponed until upgrading becomes a project.

And one observation about how the decision is usually framed: the useful question is rarely “cloud or server,” but rather how much of the work happens outside the office. If the answer is “almost all of it,” the infrastructure debate takes a back seat to the offline-mode one.

If you want to compare the numbers against your own case, you can write to us or request a demo.

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