Spark is a fairly generic data processing engine with excellent SQL support, and its DataFrame structure is pretty similar to a pandas DataFrame. It can be really useful even on a single node with a bunch of cores. Spark's MLLib also has distributed training algorithms for most standard models (notably excluding nonlinear SVMs). It also has fantastic streaming support. So Spark is good for a lot more than straight-up map-reduce jobs these days.