Premise: I assume we are speaking of relational databases. The fact that a developer can "corrupt" the database with non-atomic stuff is an hint to me that the database probably doesn't have the right referential integrity constraints in place and probably is not normalized either. The relational model is built out of the box to keep a consistent state of the data and this is one of its main value propositions.
Another danger that I didn't mention is that junior developers will be tempted to prefer "Turing like code" inside stored procedures (for loops,cursors, conditionals) instead of relational constructs (joins, subqueries,grouping,table variables). I have seen that several times and this is really a killer for database performances.
This is true when interpreted the right way, but I don't think real world problems are always so tidy.
Let's consider Standard Toy Example #17: The Bank Account Transfer. In a simplistic model, we might have a table of bank accounts in our database, and a second table of deposits. Constraints will guarantee that we can't do things like creating a deposit for an account that doesn't exist, but they won't ensure that if we create a deposit of X in one account, we must also create a corresponding deposit of -X for some other account so we aren't inventing or destroying money.
Of course, in a more realistic implementation, you'd never represent transfers between accounts as two separate stages like that, and if there is any single place to look up deposits into specific accounts it's probably some sort of view or cache rather than the authoritative data. But rather like going from single-entry to double-entry bookkeeping, to avoid relying on something higher up our system to ensure consistency, we've had to restructure our whole data model and the schema implementing it. In a sense, this is still just normalising the data, but that's a bit like saying implementing a word processor is, in a sense, just refactoring and extending a text editor.
The database shouldn't be viewed as just some kind of scratch pad where you write stuff down so the application server doesn't have to remember it. If the database is the source of truth, then it is the model, and the application is simply a view.
(Exercise for the readers: construct a set of invariants that cannot be enforced within a database schema.)
As HN doesn't show moderations, I will just say that this is exactly the point I would have made if I'd been replying first. Relational databases are good at enforcing the kinds of relations provided by basic set manipulations. If you try really hard, you can encode some more complicated constraints, but as the complexity increases it becomes unwieldy and eventually impractical to enforce everything at schema level.
Edit: Changed "database level" to "schema level" to clarify that I'm not talking about stored procedures here.
How would you typically design a relational schema that could avoid this scenario?
Of course, it's still not that simple in any realistic system, because maybe you have other important constraints such as ensuring that accounts don't go into negative balances. In that case, before you can add any new transfer, you need to calculate the existing balance on the account you're taking money from, which means replaying the entire transaction log selecting for that account if you just have the naive schema described above, and then you have to create the new transfer record if and only if the constraint is satisfied. All of this has to be done atomically to make sure you can't have multiple transfers being recorded concurrently that would individually be valid but collectively leave an account overdrawn.
That takes you into the technicalities of how to process DB transactions with acceptable performance. Hopefully your database will help you if it's ACID compliant, but it still can't work miracles. For the simple two-sided transfers in this example, you can probably do a lot just using a database's built-in transaction support, but for more complicated constraints applied to more complicated schemas, at some point you have to take the practicalities of your database engine into account when designing that schema and deciding what constraints to enforce at this level.
Of course this gets a bit unwieldy with large transaction histories, and has trouble with things like enforcing that you can't enter a transaction that draws a balance below zero.
Probably need some more rules like max overdraft amount, max number of transactions etc. I've heard some places may also have the "let's be jerks" rule to reorder transactions to hit overdraft as soon as possible to maximize fees.
But I don't suspect that is what the original author meant.