This paper explores the performance benefits of using a specific cloud computing platform for scalable big data solution for IoT sensors. In particular, the Microsoft Azure platform was used for conducting the experiments, measuring the processing speed of the available hardware for variable size of streamed data packets.We have set two research questions. First, to determine what is the effect of the packet size on the performance, and second, if scalability can improve the performance. Our experiments show that if the packets arrive in multiple machines that operate independently, one will benefit with saving a great amount of processing time. Even though the performance dropped with the increase of the packet size, it was not as critical as if using a single machine to process the great amount of streamed data.