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 worked on one project only which used what I guess is an ORM-like pattern, and I have to say it was actually really nice. The code was Javascript, and there was a mapping:
Class <-> DB table
Field <-> DB column
Row <-> Object
For each class, there was a big mapping table which indicated which database-backed fields needed to exist in that class, and then there was automated code that (1) could create or update the database to match the specified schema (2) would create helper methods in each class for basic data functions – the options being “Create me a new non-database-backed object X” “I’ve set up the new object, insert it into the DB” “give me an iterator of all database-backed objects matching this arbitrary query”, “update the appropriate row with the changes I’ve made to this object”, “delete this object from the DB,” and “I’m doing something unusual, just run this SQL query”.
I honestly really liked it, it made things smooth. Maybe it was the lack of hesitation about dropping back to SQL for stuff where you needed SQL, but I never had issues with it and it seemed to me like it made life pretty straightforward.
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Hmmm
I worked on one project only which used what I guess is an ORM-like pattern, and I have to say it was actually really nice. The code was Javascript, and there was a mapping:
For each class, there was a big mapping table which indicated which database-backed fields needed to exist in that class, and then there was automated code that (1) could create or update the database to match the specified schema (2) would create helper methods in each class for basic data functions – the options being “Create me a new non-database-backed object X” “I’ve set up the new object, insert it into the DB” “give me an iterator of all database-backed objects matching this arbitrary query”, “update the appropriate row with the changes I’ve made to this object”, “delete this object from the DB,” and “I’m doing something unusual, just run this SQL query”.
I honestly really liked it, it made things smooth. Maybe it was the lack of hesitation about dropping back to SQL for stuff where you needed SQL, but I never had issues with it and it seemed to me like it made life pretty straightforward.