Relational databases are great at relationships, right? Think again. In fact, things de-grade quickly once you need to work with and analyze many interconnected entities in a traditional relational model. At that point, you really need a graph database. Attend this demo-centric session and learn how the graph support included in SQL Server lets you embrace a graph data model without abandoning SQL Server and all of its rich native capabilities. Then we'll transition to Azure Cosmos DB and its Gremlin API to discover how similar capabilities exist in the NoSQL space with schema-free, globally distributed, big data graphs.