The IoT's rapid growth in the realm of home and industrial automation suggests it will soon affect every market. When considering practical ways to find an IoT interface, a cloud server is naturally the first item to consider. A real-time Internet of Things interface requires a lot of work, but there are benefits to doing it in the cloud. Automating factories and homes requires an internet communication protocol that is both secure and efficient enough to prevent data loss. Because of its low cost of entry, good Quality of Service, and fast data transfer, MQTT protocol is the best option for meeting the demands of the Internet of Things. In today's market, there are several IoT cloud providers, each with the goal of giving their clients the most useful and accurate IoT-based services available. In spite of the pervasive nature of these IoT clouds, we have not initiated the process of regularization on any of the datasets, let alone even a small number of studies that are analytically fairly comparable to one another. Even a tiny number of these studies have not even been considered. Because various Internet of Things applications have diverse needs for cloud resources, it is essential to perform research on IoT clouds. Latency, update frequency, simplicity of use, compatibility with IFTTT, data processing, storage capacity, number of servers, and security may be among these needs; nevertheless, this list is not exhaustive. The purpose of this research was to evaluate and contrast five of the most popular cloud computing platforms, namely Adafruit IO, Amazon Web Services (AWS), Blynk, Thingspeak, and Ubidots, in order to determine which of these platforms is best suited for a specific activity or category of applications. The five platforms that were investigated were: Adafruit IO, Amazon Web Services (AWS), Blynk, and Thingspeak.

Internet of Things (IoT), Message Queuing Telemetry Transport (MQTT), IFTTT (If This Then That).