Graph databases are changing the world by influencing world leaders, changing the way investigative journalists share data, improving food traceability, and increasing searchability of documents. The problem with traditional relational databases is that they struggle to model true hierarchies, leading to issues with recursion, master data management, network and IT operations, real-time recommendations, forensics and fraud, and resource optimization. Graphs are a better fit for these use cases because they can handle complex relationships and provide more accurate insights. The key to getting started with graphs is to read the O'Reilly Graph Databases book, take an online course, learn about RDBMS-to-graph concepts and tools, install and play with Neo4j, explore GraphGists, and discover new insights into existing data. By doing so, organizations can gain a competitive advantage based on data relationships in their existing data.