Parallelize is general and can be ran on custom defined code. So "natively integrated" functions such as ParallelMap is just syntax convenience (if you meant that). For example, search for Mersenne primes:

Parallelize[Select[Range[9000, 10000], PrimeQ[2^# - 1] &], Method -> "FinestGrained"]

{9689, 9941}

Also it is often useful just to run many independent computations in parallel on a cluster.

I bought a Raspberry Pi 2 specifically for this purpose. Note that its not in what commands are available for efficient parallel processes, but how you divide the workload I just got my first on which i plan to optimize some code i need to perform faster, and as a test for what this thing is capable of, everntually i will scale to 2 then 4 Pis, and who knows from there