Organizations transitioning from traditional relational databases to NoSQL document databases face challenges such as converting RDBMS schemas and learning new APIs. The term "NoSQL" is often misunderstood, as it does not imply complete abandonment of SQL; many NoSQL systems still utilize SQL-like query languages. Couchbase's N1QL, for example, extends SQL to support hierarchical data models while maintaining familiar SQL constructs. Altoros, a company assisting in IT transitions, has published a report comparing query languages like MySQL/SQL, Couchbase N1QL, and MongoDB, focusing on criteria such as simplicity, readability, and expressiveness. The report highlights that N1QL closely resembles SQL, making it easier to adapt for those familiar with traditional databases, whereas MongoDB often requires more lines of code and server trips, especially for complex queries. The report, which assesses these languages across nine typical CRM query scenarios, suggests that while Couchbase offers SQL-like ease, MongoDB's approach demands more complex client-side handling due to its limited support for complex aggregations.