Avalon conducted a benchmarking study comparing Couchbase Server and MongoDB, focusing on read/write and query performance. The results revealed that Couchbase Server significantly outperforms MongoDB in both areas, largely due to its architectural advantages, better resource utilization, and efficiency. Couchbase Server's memory-centric architecture and global, memory-optimized indexes contribute to its 6x higher read/write throughput and 3x higher query throughput compared to MongoDB. In contrast, MongoDB's performance is hindered by its legacy master/slave architecture, which limits resource utilization, and its reliance on local indexes, which restricts query performance to the capabilities of individual nodes. The study highlights the benefits of Couchbase's independent services for reading, writing, indexing, and querying data, as well as its innovative use of Global Secondary Indexes and asynchronous index updates, which allow for reduced scan and insert latency.