People seem to be bringing up Go, Dart, Android as things to debate over, but there are some other potential things to consider, like MapReduce. In fact, I'd argue that MapReduce has had a far more profound impact than any of the previous three. It's hard to find a large-scale data processing pipeline that isn't essentially built on top of the principles that MapReduce began.
Do you really believe that? Map and reduce were available in FP languages in the 1970s! Yes Google have a nice implementation of doing it in a distributed compute cluster, but there was no new discovery there.
As I mentioned in another post, the map-reduce concept that has been around for quite some time is not the same as the MapReduce process that Google has instrumented. Google has a way to run it super-efficiently on data centers, with distributed disks, processors, networks, etc. That is Google's oft-emulated MapReduce.
