Couchbase Capella has been shown to outperform MongoDB Atlas in a recent benchmarking test conducted by Altoros, a global IT service provider. The test evaluated the performance of both databases across various workloads and cluster sizes, with Couchbase Capella emerging as the clear winner. Throughput and latency were tested on three different cluster configurations of 6, 9, and 18 nodes, with Couchbase Capella consistently outperforming MongoDB Atlas on each configuration. The test showed that Couchbase Capella's throughput was approximately 10x higher than MongoDB Atlas for each node configuration, culminating in a throughput of 523,020 ops/sec on an 18-node cluster. The results suggest that Couchbase Capella offers industry-leading performance with features such as a built-in object-level cache, SQL++ query language, and ACID transactions, making it easier to process complex workloads without needing to model data for each query. In contrast, MongoDB Atlas does not support JOIN operations on sharded collections out of the box. The test results also highlight the cost savings potential of using Couchbase Capella, with a 6-node cluster costing $5,284 compared to an 18-node MongoDB Atlas cluster costing $28,050, representing a savings of around 81%. Overall, the benchmarking test confirms that Couchbase Capella is a more efficient and cost-effective option for businesses looking to process complex data workloads.