BigData analysis: scalability but quick development

Question

Which do you consider is the best language to processing (getting statistical results) of analysing some GB of data information, taking into account these limitations:

Open source code.
Data can be analyzed in matrixes.
Developing time limited.
Cost of processing also limited.

For, example, Octave, Fortran, C++, C, Python, etc.

score 2 · Accepted Answer · answered Oct 22 '12 at 17:52

2

Whichever language you are most familiar with. All of those languages have very performant open source options for doing big-matrix math.

answered Oct 22 '12 at 17:52

hexist

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score 1 · Answer 2 · answered Oct 22 '12 at 18:46

1

I would look for Python with NumPy extensions.

answered Oct 22 '12 at 18:46

linello

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I have seen this one: http://stackoverflow.com/questions/4322559/how-to-get-started-with-big-data-analysis?rq=1 – Luis Andrés García Oct 22 '12 at 22:22

BigData analysis: scalability but quick development

2 Answers2