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 find SQL, especially prepared statements, to be essentially a function call with a string of text containing identifiers that get swapped out, then a bunch of arguments that get swapped in.
Perhaps there are better SQL libraries that make this more fluent.
But that is so close to an ORM, I feel like I might as well use an ORM.
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I find SQL, especially prepared statements, to be essentially a function call with a string of text containing identifiers that get swapped out, then a bunch of arguments that get swapped in.
Perhaps there are better SQL libraries that make this more fluent.
But that is so close to an ORM, I feel like I might as well use an ORM.