Java and C# are not silver bullets. The languages are good solutions to a certain class of problems, using them for problems that could be better solved with a different language stagnates the growth of other languages.
Now I am wondering: Is a general programming language really predestined for certain kind of problems and not suited for other kind of problems?
I can see that performance could be an issue. But apart from that, is the problem domain really a relevant aspect for choosing a language?
I could agree that platforms and frameworks could be targeted a certain problem domains, but I cannot really see if this is true fro languages. I also think reality shows that the same kind of applications can be solved with all kind of languages, and the results are equally valuable.
I think there are much more important influences for choosing a language than the problem domain. Like experience of the team, available knowhow and infrastructure, reusing investments and creating homogenous environments ...
Can anybody explain to me how the problem domain is relevant for choosing a general purpose language? I would be very much interested in examples ...
I agree that DSLs offer a whole new perspective on this topic, but we are talking about general purpose languages here ...
I also agree that there are niche problem domains (like scientific calculations) that could certainly better solved with special languages, but again, we are talking about general purpose languages ...
