MANOVA (Multiple Analysis of Variance) is a type of Multivariate Analysis. MANOVA is similar to ANOVA except that there are several outputs. The outputs must be correlated, if they are not you should use a separate ANOVA analysis for each output.
There may be one input factor or several.
The benefit of MANOVA is that if you carried out several ANOVA analysis, as if the factors were not correlated, you would increase the probability of a Type I error. The argument is similar to the argument for using ANOVA instead of multiple pairwise t-tests.