NoSQL databases, such as Couchbase, have been widely adopted by organizations for their ability to enhance resilience, performance, and stability while minimizing data risk, dispersion, and the total cost of ownership. Unlike traditional relational databases, which were designed to minimize data duplication when storage was costly, NoSQL systems support various data models like key-value, document, column, time series, and graph to address modern data demands. These databases are particularly advantageous in providing exceptional customer experiences with their capability to handle dynamic, real-time, and personalized services across multiple devices. NoSQL databases, often built for speed, flexibility, and high availability, support cloud computing and distributed data management needs, featuring multi-model access, JSON data format, and often include relational features like SQL query support. They facilitate agile development by allowing schema-less data modeling, which accelerates adaptation to changing requirements. Moreover, NoSQL's ability to scale horizontally by simply adding servers makes them suitable for web, mobile, and IoT applications, and some advanced NoSQL systems support distributed ACID transactions. The Couchbase platform is noted for combining the flexibility and agility of NoSQL with relational database familiarity, making it a popular choice among Fortune 100 companies for managing critical data.