Managing high volumes of fast-paced data presents significant challenges, notably in database ingestion and total cost of ownership (TCO) as data expands. Couchbase's Magma storage engine emerges as a cost-effective solution that enhances performance for analytical workloads. Infosys collaborated with Couchbase to assist a tourism industry client in managing streaming data from IoT devices, generating thousands of varied data points per second across multiple sites. This data, processed through Couchbase clusters, provides crucial insights into guest behavior and fulfills regulatory needs, facilitating a 4x increase in data volume due to expanded locations and guests. Although this escalation raised cluster costs, the introduction of Magma allowed a reduction in hardware and storage, resulting in significant cost savings. By adopting Magma, Infosys reduced the archive cluster from 14 to 4 data nodes, achieving an annual saving of about $800K due to features like increased disk size and lower residency ratios. Enhanced block compression further reduced disk usage by nearly 50%, with plans to use Couchbase 7.1.2 for improved data segregation, crucial for historical research.