This article highlights the challenges and benefits of buying a real-time analytics database, drawing from five years of experience at SingleStore, where over 500 database proof-of-concepts (POCs) were conducted to evaluate customer needs. The key components that customers consider when evaluating databases include data size, data ingestion, query execution, query complexity, and concurrency. Several case studies are presented, showcasing how SingleStore met or exceeded the requirements of various companies, including IEX Cloud, Heap, Adobe, and GoGuardian, with notable successes in areas such as performance on JSON data, scalability for large datasets, and handling complex queries and concurrency demands. The article concludes that if a customer needs three or more of these criteria, they are likely looking for the right database solution.