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Not something I've used myself yet, but is there any particular reason Julia isn't on that list?

I haven't checked on Julia for like a year, but back then Julia didn't offer anything above and beyond R when it comes to "big" (really just not fitting into memory) data. As it is Spark with Scala is both faster and more convenient than R or Julia.

Spark has a python API and python has a bigger ecosystem for exploratory data analysis than spark.

Also python has a big data interface with out of core matrices and tables as well as a compiler than can speed numerical code, with a just a function decorator, to C like speeds. The former is an interface to the latter.

http://blaze.pydata.org/docs/dev/index.html https://github.com/numba/numba

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