Developing applications often requires overcoming challenges related to data querying, especially when using traditional SQL and B-Tree based databases, which may not always meet service level agreements (SLAs) due to inefficiencies in handling certain search operations. The article discusses seven common issues developers face with SQL querying, such as the inefficiencies of the LIKE predicate, challenges with multi-match queries, and limitations of exact matches, among others. It suggests utilizing Couchbase's Full-Text Search (FTS) technology as a solution, which offers more flexible and efficient search capabilities by indexing terms rather than whole words, supporting complex queries, and allowing for searches based on business-specific requirements. FTS also improves relevance ordering and enables single indexing for multiple queries by leveraging array keys and adaptive indexing methods, providing a more adaptable and resource-efficient alternative to traditional indexing methods.