A jump table is O(1). A hash table lookup is gonna be roughly O(N) for the hash + O(M) for the size of the hash bucket. Small hash tables can end up with very large buckets. Hash buckets are sometimes linked lists as well, so you pay the cost of that pointer indirection to walk the bucket. It's possible that a typical JS runtime can cache the hash value for a given string (especially literals), so that will help a bit for string keys. Integer keys might have a similar optimization.

People overestimate the performance of hash tables. It's true that they are quite fast on a modern CPU, so you get away with using them extensively in dynamic languages like JS, but they are still way way slower than a jump table or directly accessing fields at statically known offsets.