Graph Databases for the Public Sector

Graph Databases are the (not-so-) new must-have in your tech stack. Over the past few decades, more and more tech giants (Facebook, Twitter, and Google leading the way) have started migrating data into graph databases to not only store and retrieve data in a highly scalable way, but also incorporate models on graph structures to produce highly effective recommendations. What makes graph databases so enticing to these companies with gargantuan data? Relational Database Management Systems (RDBMS's) refers to databases that store their data in a structured format with rows and columns, and have a schema that demonstrates the linkage between different tables within a database. RDBMS's are generally queried with SQL (Structured Query Language) or a similar equivalent, and are great for fairly static (non-changing) and normalized data structures.