The past few years have seen an enormous growth in the popularity of graph databases, but what exactly is a graph database and how can I use one to gain deeper insights from my data? In this session we will introduce JanusGraph, a highly scalable, transactional graph database with flexible backend storage options such as Apache HBase, Apache Cassandra, and Oracle Berkeley DB. We will begin with a brief introduction to graph databases and data models, common use cases, and the benefits of a relationship centric approach to analytics. We will follow with a more technical dive into the features and deployment options of JanusGraph, including accessing the graph with the Apache Tinkerpop API stack, manipulating it with the Blueprints API, and querying the graph with the Gremlin query language. Finally, we will look at how JanusGraph integrates with other technologies like Apache Spark as part of an overall analytics architecture.