The evolution of data has dramatically changed over the past two decades, with an explosion in volume, variety, and strategic importance. Data is no longer just a tool for informing business strategy but often drives it. The shift towards software-driven innovation relies on efficient and effective management of data at speed. Despite this, many enterprises continue to use legacy relational databases, which are too rigid and don't scale well enough to handle modern application development demands. A convergence of data requirements is emerging, forcing a fresh look at how data is worked with, with systems of record, engagement, and insight converging into a unified platform that can process, store, secure, and analyze data in real-time.