Business applications often rely on NoSQL databases, which have evolved from "No SQL" to "Not Only SQL" by incorporating SQL-like query capabilities to manage structured and semi-structured data. This evolution addresses various challenges through technologies like CQL for Cassandra, N1QL for Couchbase, and SQL extensions for CosmosDB, while MongoDB offers similar commands without direct SQL support. The article highlights the importance of evaluating SQL support in NoSQL systems based on factors like language support, indexing, query optimization, and performance. Key differences are noted in SQL-like functionalities such as joins, aggregations, and transactions, with Couchbase offering the most comprehensive SQL support among the discussed databases. Although NoSQL databases aim to support SQL, their capabilities and limitations vary significantly, necessitating thorough analysis during selection for business applications.