Where does GraphDb outperfrom traditional Dbs?
I know a bit about graphdb and it is a cool technology. What are the some examples where graphdb might significantly out perform traditonal db's
A social network is a classic example. User profiles are the primary objects - but the connections between them - who's friends with who - is just as important to creating the user experience.
Another example is one from academic research: citation graphs. Research papers reference other papers. If one was building an app to mine citation data, a graph database would be ideal.
I built a graph-based recommendation system by defining connections between parent/child/related products. I then was able to traverse the graph, starting at known purchased, and branching outward to find other products/services the customer may be interested in.