Random forests split the features This splits the outcomes.

So each tree in RF only looks at a few features. In this, each model looks at all the features.

RF can handle multiclass problems of tens to hundreds (maybe thousands). This MACH algo can handle multiclass problems of millions/billions (extreme classification).