01-18-2018 02:25 PM
Apples and oranges. SAS is a complete data warehousing framework. R is a statistics package, and Python is a programming language with (among a lot of other good things) statistic libraries.
On top of that, SAS is still the main statistic tool certified by the FDA, IIRC.
01-19-2018 02:53 AM
As @KurtBremser said. I am not concerned at all regarding market. Specialisation is the key word here.
It is important to consider not only the current usage and SAS products, but also all the new developments with SAS and its new SAS Platform, which will allow users to code within SAS even with other languages as Python, Lua or Java as good examples. SAS will do the translation.
Another great differences of SAS upfront other systems or languages, that come to my mind, could be:
- SAS is very good at data analysis, great algorithms, that is the core of SAS. Not the language itself.
- SAS also offers a lot bunch of good Solutions and products surrounding the SAS core, quite unique against others. This part is specially important on several aspects:
- It covers main requirements on all the different industries that does data analysis and statistics. Reducing the start-up time and developing time, to allow the business to focus on what matters the most.
- Above means as well, that it will reduce costs, not only on the initial development stage, but also on integration, maintenance, etc.
- Probably much better managing real big data with all the latest developments with the new SAS Platform.