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this post was submitted on 08 Sep 2023
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Programming
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You don't even mention the 2 main advantages:
I too want my query results in an object, but thankfully libraries like sqlx for golang can do this without the extra overhead of an ORM. You give them a select query and they spit out hydrated objects.
As far as multiple DBs go, you can accomplish the same thing as long as you write ANSI standard SQL queries.
I've used ORMs heavily in the past and might still for a quick project or for the "command" side of a CQRS app. But I've seen too much bad performance once people move away from CRUD operations to reports via an ORM.
Even something as ubiquitous as JSON is not handled in the same way in different databases, same goes for Dates, and UUID. I am not even mentioning migrations scripts. As soon as you start writing raw SQL, I pretty sure you will hit a compatibility issue.
I was specifically talking about python, can't argue with golang. OK you have a valid point for performance, gotta keep an eye on that. However, I am satisfied for our CRUD api