A database like mongodb is a very different animal from a http cache. The mongodb authors likely read this article (it's from 2006) when they were designing the first version of their database, and due to their almost complete unfamiliarity with what they were doing didn't understand that these two things are not alike.
Databases have different classes of objects (think index vs data, though there are more than just these two), different types of access (e.g. full table scan vs single record select) and a whole lot more complexity than I can cover here. You don't really ever want to page out your indicies, but paging out data is probably fine. You likely want to avoid replacing your entire cache for full table scan of a big table. You probably want to have some concept of ensuring a single user doesn't starve out all your other 1000+ users. Etc etc.
In other words, you can't get away with just opting out of memory management for a database - you need to treat different things differently. I understand that a few years in, the mongo devs eventually caught up to 1990s era mysql and realised this, leading to a new DB engine that was a bit less bad.
Databases have different classes of objects (think index vs data, though there are more than just these two), different types of access (e.g. full table scan vs single record select) and a whole lot more complexity than I can cover here. You don't really ever want to page out your indicies, but paging out data is probably fine. You likely want to avoid replacing your entire cache for full table scan of a big table. You probably want to have some concept of ensuring a single user doesn't starve out all your other 1000+ users. Etc etc.
In other words, you can't get away with just opting out of memory management for a database - you need to treat different things differently. I understand that a few years in, the mongo devs eventually caught up to 1990s era mysql and realised this, leading to a new DB engine that was a bit less bad.