The Internet of Things (IoT) introduces a new dimension to database workloads, with data generated from edge devices at gateways and servers for instant analysis. The data is heterogeneous in terms of schema and constantly evolving, requiring flexible modeling approaches such as JSON representation. IoT systems can utilize various storage formats including RDBMS, NoSQL systems, simple JSON, XML, or proprietary formats to manage the diverse data streams. An architecture for IoT data management involves aggregating, filtering, and analyzing data at the sensor level before sending it to the cloud for deeper analysis. The traditional OLTP schema is not suitable for IoT's write-heavy workload, prompting the creation of a new benchmark TPCx-IOT to measure the price-performance of IoT gateway systems. This benchmark provides a comprehensive framework for evaluating the performance of IoT databases, with Couchbase successfully implementing the workload driver and achieving impressive results on Cisco M4 hardware.