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.
I had a job where we used Spring Boot with JPA on the backend. It was nice because you could just use the ORM methods for basic CRUD functionality. But on the other hand it has this @Query annotation we used for whenever we wanted to write our own queries. Probably against best practice but it worked well enough
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I had a job where we used Spring Boot with JPA on the backend. It was nice because you could just use the ORM methods for basic CRUD functionality. But on the other hand it has this @Query annotation we used for whenever we wanted to write our own queries. Probably against best practice but it worked well enough