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> No runtime cost in production is the goal Clojure's persistent data structures are extremely fast and memory efficient. Yes, it's technically not a complete zero-overhead, pragmatically speaking - the overhead is extremely tiny. Performance usually is not a bottleneck - typically you're I/O bound, algorithm-bound, not immutability-bound. When it truly matters, you can always drop to mutable host language structures - Clojure is a "hosted" language, it sits atop your language stack - JVM/JS/Dart, then it all depends on the runtime - when in javaland, JVM optimizations feel like blackmagicfuckery - there's JIT, escape analysis (it proves objects don't escape and stack-allocates them), dead code elimination, etc. For like 95% of use cases using immutable-first language (in this example Clojure) for perf, is absolutely almost never a problem. Haskell is even more faster because it's pure by default, compiler optimizes aggressively. Elixir is a bit of a different story - it might be slower than Clojure for CPU-bound work, but only because BEAM focuses on consistent (not peak) performance. Pragmatically, for the tasks that are CPU-bound and the requirement is "absolute zero-cost immutability" - Rust is a great choice today. However, the trade off is that development cycle is dramatically slower in Rust, that compared to Clojure. REPL-driven nature of Clojure allows you to prototype and build very fast. From many different utilitarian points, Clojure is enormously practical language, I highly recommend getting some familiarity with it, even if it feels very niche today. I think it was Stu Halloway who said something like: "when Python was the same age of Clojure, it was also a niche language" |