Couchbase version 7.1 introduces the Magma storage engine, which significantly improves performance and reduces total cost of ownership (TCO) by allowing for more efficient data storage and retrieval. With a memory-to-data ratio as low as 1%, Couchbase can store hundreds of terabytes of JSON data in a single node, reducing the number of servers needed to achieve the same result. Magma also offers improved performance gains in disk-based workloads, including a 4x increase in throughput for mixed disk-based workloads and a 10x improvement in tail latency for reads. The new storage engine is based on a proprietary architecture that combines Log Structured Merge trees with value separation in a log structured object store, allowing for better efficiency metrics and reduced space amplification. To use Magma, users can create a Couchbase bucket with the storage engine selection as Magma, which can be mixed with other storage engines like Couchstore. With Magma, Couchbase 7.1 becomes an ideal database for data-intensive use cases such as IoT, logging, customer portals, metadata and content stores, and user profiles.