The text critically examines the term "NoSQL" and its inadequacies as a categorical label for diverse database technologies, arguing that such nomenclature is largely unhelpful in evaluating a database's suitability for specific use cases. Highlighting the divergence and convergence of database solutions like Mongo, Couch, Cassandra, and Riak, the text underscores that these systems are increasingly being assessed based on their ability to meet real-world needs such as mobile data synchronization and supporting interactive web applications, rather than their underlying data models. It suggests that a focus on use cases, rather than labels or data models, would better guide users in selecting appropriate database solutions. The text also reflects on the historical parallels with the Object-Oriented Database Management System (OODBMS) hype of the 1990s, noting that while the NoSQL movement addresses real deficiencies in existing database technologies, its success hinges on its practical applicability to emerging computing needs. Finally, the author calls for a more precise, use case-oriented taxonomy, possibly favoring terms like "cloud database," to replace the ambiguous "NoSQL" label.