Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is. Amazon Neptune is good for identifying fraud and many banks are using it. For example, know that I go to certain places all the time that are connected with nodes and edges, such as gas stations, shops, and Amazon. Since people are creatures of habit, the banks can use those nodes and edges to make a model of where I like to shop and spend money. If they see something pop up that's out of character for me, then they know immediately that it is possible fraud. They can determine this because a purchase I made was somewhere I never go or because of geography.
