Dating, as is often said, is a numbers game. And organizations such as Match.com, and Zoosk rely on very sophisticated technology as they sift through vast customer bases to create the most compatible couples. Specially, they rely on data to build the most nuanced portraits of their members that they can, so they can find the best matches. This is a business-critical activity for dating sites — the more successful the matching, the better revenues will be. One of the ways they do this is through graph databases. These differ from relational databases as they specialize in identifying the relationships between multiple data points. This means they can query and display connections between people, preferences and interests very quickly.
In this session you will see how in many ways dating sites are getting better performance and more value out of their data than financial institutions by using Neo4j.