PCA is preferable to Random Projection, as hence the name, Random Projection is just that, where PCA finds components in such a way that maximizes the variability within the data. While it is possible Random Projection will produce a mapping nearly as good as PCA, the latter is guaranteed to produce a projection that is optimal for maximizing the information retained.