this post was submitted on 08 Sep 2023
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Some backend libraries let you write SQL queries as they are and deliver them to the database. They still handle making the connection, pooling, etc.

ORMs introduce a different API for making SQL queries, with the aim to make it easier. But I find them always subpar to SQL, and often times they miss advanced features (and sometimes not even those advanced).

It also means every time I use a ORM, I have to learn this ORM's API.

SQL is already a high level language abstracting inner workings of the database. So I find the promise of ease of use not to beat SQL. And I don't like abstracting an already high level abstraction.

Alright, I admit, there are a few advantages:

  • if I don't know SQL and don't plan on learning it, it is easier to learn a ORM
  • if I want better out of the box syntax highlighting (as SQL queries may be interpreted as pure strings)
  • if I want to use structures similar to my programming language (classes, functions, etc).

But ultimately I find these benefits far outweighed by the benefits of pure sql.

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[–] kSPvhmTOlwvMd7Y7E@programming.dev 60 points 1 year ago (5 children)

You don't even mention the 2 main advantages:

  • ORM lets you to use plain objects over untyped strings. I take typed anything over untyped anything, everyday
  • ORM lets you to use multiple database backends. For ex, you don't need to spawn a local postgres server, then clean/migrate it after each test suit, you can just use in-memory sqlite for that. OK this has some gotchas, but that's a massive improvement in productivity
[–] Swiggles@lemmy.blahaj.zone 7 points 1 year ago (1 children)

I was about to write the same thing. Really the object thing is the whole reason to use ORMs.

Using plain SQL is a compatibility and migration nightmare in medium and bigger sized projects. If anything using plain SQL is just bad software design at least in an OOP context.

[–] winky88@startrek.website 4 points 1 year ago

Not to mention refactoring support...

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