The Internet of Things (IoT) presents a unique challenge for databases due to its increasing data volume and velocity, requiring near-instant response times. To address this, data processing and analysis must be handled at the network edge, close to IoT devices. Fog computing is emerging as a solution that brings cloud principles to the edge, allowing complex IoT use cases to operate in tandem with cloud environments. RedisEdge, a multi-model database, delivers fast performance for handling large and high-velocity data from potentially thousands of sensors, cameras, and other devices at the IoT edge. Microsoft Azure IoT Edge is purpose-built to support these needs, integrating RedisEdge into its runtime environment for improved performance.