Data streaming is the backbone of modern connected systems, ranging from IoT devices to large-scale data centers. One of the forerunners in this domain has been MQTT (Message Queuing Telemetry Transport), which has been a cornerstone for IoT and telemetry applications.
However, new paradigms such as Edge AI and high-throughput data workloads have stretched the limits of MQTT. Enter Mycelial—a next-generation data streaming solution built to address these emerging needs. In this blog, we compare MQTT and Mycelial, delving into the drawbacks of the former and how the latter is poised to be a game-changer.
MQTT was developed by IBM in 1999 when bandwidth was expensive and often unreliable. It was designed to be a lightweight protocol that can function effectively in low-bandwidth and high-latency environments. Over TCP/IP, the protocol established a publish-subscribe model with a centralized broker to facilitate communication between devices. This model made sense for the use-cases of the time, like remote monitoring and simple telemetry tasks.
Despite its widespread adoption and versatility, MQTT has several drawbacks that hinder its performance and utility in today's evolving landscape/ Mycelial addresses many of these shortcomings by rethinking the architecture and capabilities for modern data streaming needs.