Database Schema Design Mistakes That Will Haunt You at Scale

Schema decisions made in week one echo for years. Here are five that look harmless at launch and become expensive at scale.

1. Storing money as floats

Floating-point rounding and currency don’t mix. Use integers (cents) or a decimal type. Always.

2. No soft-delete strategy

Hard deletes destroy audit trails and break foreign keys. Decide your deletion model early.

3. Premature denormalization

Denormalize for measured performance problems, not imagined ones. It’s far easier to denormalize later than to re-normalize.

4. Unbounded columns with no indexes

The query that’s instant at 10k rows is a full table scan at 10M. Index for your real access patterns.

5. Enums as raw strings

Free-text status columns drift into chaos. Constrain them at the database level.

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