How does R optimize join operations in data.table vs dplyr?

data.table uses indexed binary search joins while dplyr uses tidy abstraction layers.

data.table precomputes keys enabling O(log n) joins, whereas dplyr translates joins into optimized backend operations but may introduce overhead via abstraction.