After reading in blogs and books, I came to the conclusion that Gibbs sampling and variation Bayes are methods for estimating or inference of posterior. Below link described but it's difficult to interpret.
It can be a sense that both methods are most probably use in a probabilistic model. Practically Gibbs sampling is very slow compared to the variational base.
Can anyone explain how this happens? It would be interesting if one will brief about it.