We compare two types of topological features on networks to discover commonalities and differences. The first type concerns the well known degree, eigenvector and core centrality features. The second type of features are relatively new in network analysis, and are the product of persistent homology. In particular, we examine the H0, H1, and H2. features. H0 refers to connected components, H1 to cycles and H2 to 2-d cycles. The study focuses on comparisons of the two types of features on the ego-network of nodes. The experiments are performed on two biomedical networks, one derived from the Drug-Bank and the other concerns interactions of drugs for rare diseases.