In recent years, there was a surge in interest for NoSQL solutions due to the challenges of scaling traditional relational databases. However, as reality set in and workloads became more complex, many companies began to incorporate SQL and relational models into their data management strategies, finding that they provided the necessary structure and performance. The relational model has kept pace with modern workloads, particularly thanks to advancements in in-memory computing and distributed systems, which have made it economically viable to store high-value data in memory and scale foundational infrastructure. Today, companies can store data in a relational format from the outset, providing the operational model and required performance with built-in structure, allowing them to focus on data science rather than data plumbing.