Graph database offers a different way of looking at data and has become very popular in recent years to gain new insights into the connections and relationships in data. Growing numbers of application developers and data scientists want to access the graph capabilities of databases to find clusters, detect paths, and uncover unusual patterns in data, while DBAs need to understand the architectures of different database management systems. The graph feature of the Oracle Database is included without additional license cost, and it enables developers to create graphs from database tables, search for graph patterns, and apply graph algorithms to data. This session is a how-to for DBAs who need to support their organizations in using this feature. We will explain what the graph feature entails, how to install it, what components are necessary, what tools are available, how graph-based queries are translated to SQL, and how database administrators can leverage these capabilities from the command-line tools such as SQLcl.