Earlier quoted context omitted.
Until you want faster joins, in which case, comparisons of integers tend to be much faster on hardware I am aware of than string comparisons.
We're talking about deserialising JSONs in the application server here, nobody stops you from treating ids as numbers on the database side of things. But also, this sounds like a premature optimisation. Most applications will never reach a level where their performance is actually impacted by string comparison, and when you reach that stage, you're likely have already thrown out a lot of other common sense stuff like…
Due to the type of aggregate queries that typify analytics workloads, almost everything turns into a scan, whether it be of the a table, field, or index. Strings occupy more space on disk, or in RAM, so scanning a whole column or table simply takes longer, because you have to shovel more bytes through the CPU. This doesn't even take into account the relative CPU time to actually do the comparisons.
I've never personally worked with a system that has string keys shorter than 10 [1][2] characters. At that point, regardless of how you pack characters into a register, you're occupying more bits with two strings of character data than you would with two 64-bit integers[3]. This shows through in join time.
[0]: Even modestly sized companies tend to have at least a few tables that get into the millions of records.
[1]: I've heard of systems with shorter string keys
[2]: Most systems with string keys I've encountered have more than 10 characters.
[3]: The vast majority of systems I've seen since the mid-2010s use 64-bit integers for keys for analytics. 32-bit integers seemed to phase out for new systems I've seen since ~2015, but were more common prior to that.