Relational databases have come a long way in the past decade, but sometimes complex data models (a map of network infrastructure, or a quantum-entangled network of social relationships) call for a different approach. How can we address these sorts of modeling challenges? This talk will explore practical uses of Neo4J, a graph database designed to solve the problems of connections and relations that are too complex for traditional relational databases. We'll learn about managing and querying highly connected data and explore the power of graph databases in taming our complex data problems. The talk starts with a discussion of what graph databases are and the common problems that they solve. It focuses on several real-world use cases, including examples from network infrastructure, social media and artificial intelligence. It also covers specifics of using the Neo4j ORM in Ruby and Rails and explore fully populated data sets with complex relations to demonstrate the power and flexibility of graph databases for storage and querying.