Google Sheets or a database: how to choose in four questions

Short answer: the difference isn't size, technical skill, or row count. A spreadsheet calculates. A database guarantees. Four questions will tell you which side you're on, and if you answer no to all four, change nothing. If you want the detail of what a spreadsheet doesn't guarantee, it's in the six limits of a Sheet used as a database.

Question 1 · Do several people write in it?

Not "read it". Write in it.

Ten readers on a sheet maintained by one person is a healthy setup, and it can last for years. Two people typing into the same tab is already a distributed system with no conflict handling: the last write wins and nobody is told. The mechanism, in detail.

The sign that you're there: you check the file before you use it.

Question 2 · Is there a rule that needs enforcing?

"The amount is mandatory." "Status is one of these five words." "A customer appears once." "You can't invoice without a delivery date."

A spreadsheet can flag a broken rule. It cannot refuse the write. The difference sounds minor and it changes everything: flagging creates cleanup work, refusing creates a guarantee. As long as the rule lives in the team's heads instead of the tool, it will get broken. Not through carelessness, but by the new person who never knew about it.

Question 3 · Do you need to know who changed what, and when?

The question isn't whether history exists. It does. It's whether you can answer "who moved this row to Approved, and on what date?" in ten seconds, six months later, on one specific row.

In a spreadsheet, that answer is found by hand, walking back through versions. In a database it's attached to the row. If your work carries any traceability stake, invoicing, compliance, a customer dispute, a grant, an audit, that's a yes, and it's a heavy one.

Question 4 · Does another tool need to read this data?

A site showing your catalogue, invoicing pulling your orders, a dashboard counting your leads, a public form creating rows.

A spreadsheet can be read by another program. But it has no stable schema: the day someone inserts a column, everything that read column D now reads column E, with no error, no warning, and wrong results. A database has named fields; adding one breaks nothing.

How to read your answers

Zero yeses: keep your sheet. Genuinely. No migration will help you, and you'd lose Sheets' ad-hoc calculation freedom, which no database matches. If that's you, the useful article is why the file slows down and how to fix it.

One yes: check whether it's workaroundable. A rule can be held by hand for a while. A file can be duplicated for an access right. Count what it costs you per week, and decide on that number rather than on instinct.

Two or more: the sheet won't hold. Not because it's too small, but because you're hand-rebuilding a database's guarantees, with checking formulas, log tabs, team conventions, and manual verification. It works, and it costs you time every single day.

What you'd lose by leaving Sheets

An honest comparison has to say what you give up, or it's worthless:

If the top two rows are what matters most in your work, you have your answer: stay.

The false dilemma

Most people asking this question don't have to choose. They have two jobs tangled in one file: a record, meaning orders, customers, jobs, shared data entered by several people that has to be right. And a calculation, meaning totals, charts, this month's pivot, analysis done by one person.

If you already know which record you keep, the templates save you starting from an empty grid.

The record needs a database's guarantees. The calculation needs a spreadsheet's freedom. Separating them solves the problem without sacrificing either, and once they're separated, feeding the Sheet automatically removes the double entry.

That's exactly Rowbase's bet: the record lives in a typed database with roles and per-row history, and every row goes back into your Google Sheet automatically. Your formulas, charts, and habits don't change, they finally work on clean data.

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FAQ

Is Google Sheets a database? No. It's a spreadsheet that can hold tabular data, which isn't the same thing: it enforces no types, no uniqueness, no links between tabs, and no per-row access rights.

How many users before you should leave Sheets? There's no number. The threshold isn't how many people are involved but how many write to the same place, and it's reached at two.

Do you need a developer to move to a database? Not for a long time now. Collaborative database tools work like a spreadsheet grid; what changes is what happens behind the grid.

Can you keep Google Sheets alongside a database? Yes, and it's often the best setup: the database holds the record, the Sheet does the calculation, and syncing removes the double entry.