From the sound of your post I'm guessing you view Julia as a general purpose language. I'd consider it general purpose insofar as the application leans into fast numerical computing, everyone else secondary. It can do most of the things other languages do reasonably well, but that's not why you would pick Julia for a project over say Java. You pick it because you want to write fast numerical code and express it elegantly. All of the other typical "glue" things you need to ship a product are secondary to that, but good enough to get the job done.
The key to performance with the GC in Julia is not allocating, but it has gotten substantially better since 2019.
The key to performance with the GC in Julia is not allocating, but it has gotten substantially better since 2019.