Earlier quoted context omitted.
We're pointing out the same thing. Someone that uses an ORM knows when they shouldn't use them and I tend to trust that more than someone who simply refuses to use them and ends up recreating an ORM by accident.
> Someone that uses an ORM knows when they shouldn't use them That's not been my experience. But admittedly, I've usually been brought in when the slow query is killing the database. Then I look at the query that nobody with any subject matter knowledge would have written, come up with an alternate query that will give either the same result or something close enough. Sometimes I have to then dig in and figure out ho…
People focus on the query writing aspect of ORMs too much. That's not that primary reason you use an ORM. It's primary purpose is to hydrate objects in the runtime. If I pull a datetime from SQL there's a lot of value in having a single piece of code handle that datetime the same way across the entire stack. I can unit test that handling once across the entire code base. Very few ORMs are aware of how the data is indexed and yes a lot of people will write code that generates a complex WHERE clause against columns that aren't indexed. But that's an understanding problem. I expect someone who uses an ORM to understand SQL well. Including indexes and fixed length tables. Obviously you are encountering code made by people who don't understand this but the problem isn't the ORM. They would have made that mistake with or without an ORM.