Thanksgiving often pairs with turkey, but the analogy extends to the challenges of storing JSON in relational databases, which can be cumbersome and inefficient due to differences in data models and architecture. While relational databases require a rigid schema for data insertion, JSON support in these systems is often limited to extensions on top of existing technology, leading to an impedance mismatch. In contrast, NoSQL databases like Couchbase offer native support for JSON, allowing for schema-free, flexible, and easy-to-use data structures that adapt effortlessly to changes without requiring schema updates. JSON documents in Couchbase are self-contained, can store complex and nested data types, and are automatically sharded across clusters to ensure reliability and efficiency. Couchbase also supports indexing and querying with N1QL, a SQL-like language, making it an attractive choice for developers working with complex data or building new applications that generate JSON documents. This positions NoSQL as a viable alternative to relational databases, particularly in scenarios involving operational data collection from users, systems, or social networks.