Feature values range
I don't see how there should be any negative consequences of this. To see why, you can "vectorize" your feature matrix so that you still have scalars for each "new" feature. That is, instead of a matrix of n features each with k values, you have a vector of length n×k with scalar features. SVMs with a mixture of categorical/integral + real components is standard.