What you're looking for when comparing UMAPs is if the local relationships are the same. Try to recognize clusters and see their neighbors, or whether they are distinct or not. A much finer colored clustering based on another reduction (typically PCA) helps with that. Without clustering, you can only try to recognize landmarks from their size and shape.