Building a PMS Database In-House vs Hiring a Professional

I am going to write this one slightly differently. Not as the company — but as someone who has personally sat in the Chief Engineer's chair, stared at a pile of OEM manuals, and decided to build the database myself.

I have done it both ways. I have spent weekends onboard extracting maintenance tasks from manufacturer manuals, one equipment item at a time, building a database from scratch while still running the vessel. And now, I build them professionally for other vessels. That gives me a perspective that most people writing about this topic do not have.

So here is an honest look at the tradeoffs.

The appeal of doing it yourself

Let us start with why so many Chief Engineers attempt it. The logic makes perfect sense.

You know the vessel better than anyone. You know which equipment is actually installed, which manuals are accurate, and which systems get the most wear. You have the technical knowledge to understand what maintenance each component needs. And you are already onboard — no travel costs, no project management overhead, no external fees.

For some vessels, in some situations, this is genuinely the right approach. We will get to those situations later.

But for many vessels, the in-house approach ends up costing more than it saves — in time, in quality, and in ways that are not obvious until you are deep into the project.

The time equation

This is where most engineers underestimate what they are signing up for.

A proper PMS database for a 60-metre yacht contains somewhere between 400 and 800 equipment items, 3,000 to 5,000 maintenance tasks, and thousands of spare parts entries. Every one of those entries needs to be extracted from manufacturer documentation, structured into a hierarchy, linked correctly, and quality-checked.

Building this properly takes hundreds of hours of focused work. Not maintenance hours. Not operational hours. Dedicated data extraction and structuring work — the kind where you sit with a manual open, work through it page by page, and enter everything correctly.

The question is: where do those hundreds of hours come from?

A Chief Engineer on a superyacht is not sitting around waiting for a project. You are managing maintenance schedules, supervising the engineering team, preparing for surveys, dealing with defects, ordering spare parts, coordinating with the management company, and — if the vessel is chartering — keeping everything running perfectly while guests are onboard.

So the database gets built in the margins. Early mornings. Late evenings. Days off during rotations. Weekends alongside when you could be doing something else.

Now think about the economics. A Chief Engineer on a 60-metre vessel is typically earning EUR 8,000 to EUR 12,000 per month. If the database takes four to six months of your spare time — which is realistic for a thorough job on a vessel that size — the time investment is substantial. And during those months, your attention is divided between the database and your actual job.

There is no line item on a budget for this. No invoice that makes the cost visible. But the cost is real. Every hour spent on database work is an hour not spent on maintenance planning, crew development, defect resolution, or simply resting so you can perform at your best.

The quality gap

This is the one that stings, because it is not about competence. It is about perspective.

When a Chief Engineer builds a database, they build it through the lens of their own experience. That is valuable — deeply valuable — but it is a single lens. One person's knowledge of one vessel, informed by their career history on a handful of other vessels.

When you have built databases for dozens of vessels across different sizes, builders, and system configurations, you see patterns. You know that a particular manufacturer's manuals bury critical service intervals in appendices that are easy to miss. You know which equipment types are commonly under-documented. You know that HVAC systems need just as much attention in the database as propulsion systems, even though they are less interesting to most engineers.

A professional also applies methodology that is hard to maintain when you are building a database in fragments over months. Naming conventions, for example. When you sit down for two hours on a Tuesday evening and enter fifteen equipment items, then do not touch the database for a week, then come back to it on Saturday — the naming starts to drift. "Seawater Cooling Pump" in one section, "SW Cooling Pump" in another, "Cooling Pump (SW)" somewhere else. Over time, the inconsistency builds up.

This is not a criticism of the engineer. It is a natural consequence of doing detailed, systematic work in fragmented time slots across months. Professional builds avoid this because the work happens in concentrated blocks with documented standards that are applied consistently throughout.

The "good enough" trap

This is the pattern we see most often when reviewing databases built in-house.

The engineer starts with the main engines. Makes sense — they are the most critical equipment, the most familiar, and the most satisfying to get right. The database for the propulsion system is detailed, thorough, and well-structured.

Then the generators get the same treatment. Solid work.

Then the hydraulics, the steering gear, the stabilisers. Still good, but maybe slightly less detailed. The spare parts linkage starts to thin out.

Then comes the HVAC system, the freshwater systems, the sewage treatment, safety equipment, deck machinery, the navigation electronics, the hotel systems...

By this point, six weeks have passed. The initial energy has faded. Operational demands have picked up. The database for these systems gets skeleton entries — equipment listed with basic tasks, but without the granular detail that the engines and generators received. Some systems get barely anything at all.

The result is a database that is excellent for 30 percent of the vessel and thin for the rest. The engineer knows this, but they have run out of time and energy. "Good enough for now" becomes permanent.

The problem is that surveys and inspections do not only cover the main engines. A class surveyor reviewing your PMS will look at safety equipment maintenance. An ISM audit will check HVAC filter schedules. A flag state inspector might ask about your deck crane service records. The systems that got thin coverage are often exactly the ones that get scrutinised.

What happens when you leave

This might be the most important consideration, and it is the one engineers think about least while they are in the middle of building.

If you built the database, you understand it. You know why certain equipment is named a certain way. You know which manuals you referenced. You know that certain tasks are grouped a particular way because of how the systems are physically arranged onboard.

But what happens when you leave the vessel? And you will leave eventually — that is the nature of the industry.

The next Chief Engineer inherits a database that exists partly in the system and partly in your head. They do not know your naming logic. They do not know why some systems are detailed and others are not. They do not know which tasks you modified from the manufacturer recommendations based on your experience, and which ones were entered correctly from the manual.

If the database is not documented — with a clear hierarchy structure, documented naming conventions, and notes on data sources — it becomes unreliable the moment you walk off the gangway. The new engineer does not trust it. They start building their own system alongside it, or they abandon it and go back to spreadsheets.

A professionally built database is designed to outlive any individual crew member. The hierarchy is documented. The naming conventions are written down. Every task references its source. The database belongs to the vessel, not to the person who built it.

When doing it yourself genuinely makes sense

We would be dishonest if we said every vessel needs a professional database build. Some do not. Here is when doing it in-house is a reasonable choice:

Vessel under 35 metres with straightforward systems. A smaller yacht with twin engines, a single generator, basic hotel systems, and no particularly complex installations. The equipment count is manageable — maybe 80 to 150 items — and a competent engineer can work through it in a realistic timeframe.

The engineer has genuine available time. The vessel is in a quiet operational period. A long yard stay. An extended period without charters. If you have weeks of relatively uninterrupted time to dedicate to the project, the quality will be much better than if you are building it in stolen hours.

No deadline pressure. If there is no survey approaching, no management company review pending, no owner asking when the PMS will be operational — you can take the time to do it properly without cutting corners.

Simple PMS platform. If the database only needs to exist as a well-structured spreadsheet or in a PMS platform you know well, the technical barrier is lower.

If all four of those conditions are met, building it yourself can work well. The key word is "all four." If any one of them is missing — the vessel is too large, you do not have the time, there is a deadline, or the platform is unfamiliar — the risk of an incomplete or inconsistent result increases significantly.

When a professional build makes more sense

Certain situations make the case for professional database development clear:

New builds with tight timelines. The vessel is being delivered in months, not years, and the PMS needs to be operational from day one. There is no time for the Chief Engineer to build it from scratch while simultaneously commissioning systems and preparing for sea trials. A professional build can run in parallel with construction, using documentation as it arrives from the yard. [Read more about new build timing](/blog/new-build-pms-database-when-to-start).

Vessels over 50 metres. The equipment count and system complexity on larger yachts make in-house builds impractical for most engineers. A 70-metre yacht might have 250 or more pieces of equipment requiring full OEM workbooks. That is 500 to 600 hours of extraction work before you even consider the hierarchy, QA, and spare parts linkage.

Platform migrations. Changing PMS software is an opportunity to rebuild the data properly. Importing poorly structured data into a new system just gives you poorly structured data on a different screen. A migration is the right moment to bring in someone who can clean, restructure, and improve the dataset.

Management company standardisation. If a management company wants consistent database quality across a fleet, having each vessel's Chief Engineer build their own guarantees inconsistency. Different naming conventions, different hierarchy structures, different levels of detail on every vessel. A professional service with a defined methodology produces databases that work the same way across the fleet.

Approaching a major survey. If a class renewal, ISM audit, or major flag state inspection is coming up and the PMS is not ready, the timeline does not allow for a months-long in-house effort. A professional build can be scoped, scheduled, and delivered to meet the survey date.

The real comparison

Let us put this plainly. The question is not "can a Chief Engineer build a PMS database?" Of course they can. The question is whether it is the best use of their time and whether the result will be what the vessel needs long-term.

An engineer building a database in-house is doing two jobs at once — and inevitably compromising on both. The database does not get the focused attention it needs, and the vessel does not get the full attention of its Chief Engineer during the build period.

A professional build lets the engineer focus on what they are actually employed to do — run the vessel — while the database is built by someone whose entire focus is database quality. The result is a [complete, consistent, documented dataset](/blog/what-makes-good-pms-database-superyacht) that the crew can trust and that survives crew changes.

That said, the two approaches are not mutually exclusive. The best databases we build are the ones where the Chief Engineer is actively involved in the review process. They provide input on equipment specifics, validate the hierarchy against what is actually onboard, and confirm that the maintenance tasks reflect operational reality. Their knowledge of the vessel is invaluable — it is just better applied to reviewing and refining than to data extraction and structuring.

Making the decision

If you are a Chief Engineer weighing this up, here are the honest questions to ask yourself:

1. Do I realistically have 300 to 500 hours of focused time available? Not fragmented evenings and weekends — actual blocks of time where the database is my primary focus.

2. Will I finish it? Not the engines and generators — the whole vessel. HVAC, safety equipment, deck machinery, navigation, hotel systems. All of it, to the same standard.

3. Will it survive after I leave? Is the naming documented? Is the hierarchy logical to someone who was not involved in building it? Can the next engineer pick it up without calling me?

4. What is the real deadline? If the vessel needs an operational PMS in three months, can I deliver that while also doing my actual job?

If the answer to any of these is "probably not," it is worth having a conversation about what professional support looks like. It does not have to be an all-or-nothing decision. Some vessels bring in professional support for the initial build and then maintain it in-house going forward. Others handle the systems they know best and outsource the ones that need specialist attention.

You can see how our process works on the [services page](/services), and if you want to understand the investment involved, our [pricing page](/pricing) explains the structure — or read our article on [what a professional PMS database costs](/blog/pms-database-cost-superyacht).

The goal is the same either way: a database that works, that the crew trusts, and that lasts. How you get there depends on your vessel, your situation, and your available resources.