Within the standard library, `clojure.core/pmap` is good for simple problems[0], whereas the various functions in the clojure.core.reducers[1] namespace are a b

Within the standard library, `clojure.core/pmap` is good for simple problems[0], whereas the various functions in the clojure.core.reducers[1] namespace are a bit more sophisticated and would probably solve the sort of problem you're describing pretty well. There are also a number of good clojure parallelism libraries floating around if you don't mind incurring dependencies: I've used claypoole[2] and tesser[3] in the past and been pretty happy with them. All of these options are, IME, relatively easy to drop in to some extant data processing pipeline to parallelize it, and probably require a similar level of finagling to what you're used to in Haskell. [0] (->> some-lazy-seq (pmap ...) (reduce ...)) goes pretty far, but nesting/composing pmaps or doing i/o doesn't always work particularly well since the JVM [currently] uses OS threads rather than something like the lightweight threads GHC provides. [1] https://clojure.org/reference/reducers https://clojure.org/reference/reducers [2] https://github.com/clj-commons/claypoole https://github.com/clj-commons/claypoole [3] https://github.com/aphyr/tesser https://github.com/aphyr/tesser