The world's leading innovative companies are already using Graph technologies to break down the complexity at the heart of their data. Over the last few decades, we have grown accustomed to putting all of our data into structured databases even in cases where it may not be the best approach. This happens only because structured SQL data has become the defacto way for us to do data analytics.
A graph is a network of interconnected nodes. A lot of the data is connected in not just one or two ways but in multiple ways and representing this in our defacto structured SQL manner makes it extremely difficult to analyze quickly and with flexibility. Graph Databases are great for managing ad-hoc, changing data with evolving schemas. With graph theory, we are able to represent this data which in turn allows us to find answers a lot faster than we could before.
Here are some types of questions that might be answered from data in various domains: