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Copy file name to clipboardExpand all lines: src/blog/2026/01/opcua-vs-mqtt.md
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The question is broken.
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MQTT moves messages. OPC UA defines meaning. They operate at different layers of the stack. Comparing them is like comparing TCP to JSON.
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Yet the debate persists. Vendors position them as competitors. Consultants bill by the confusion. Your procurement department demands a choice.
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The industry knows better. OPC UA includes MQTT in its spec. Real factories use both: MQTT for telemetry, OPC UA for machine coordination. The technologies already converged.
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### Scalability Patterns
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MQTT scales horizontally through broker clustering. Mosquitto, EMQX, and HiveMQ all support distributed deployments where multiple broker instances share message routing. Add brokers as subscriber count grows. Millions of devices can publish to a broker cluster, and the brokers handle distribution to subscribers.
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MQTT scales horizontally through broker clustering. In distributed deployments, multiple broker instances share message routing and load. As subscriber counts grow, additional brokers can be added to the cluster. Many modern MQTT brokers support this model, enabling millions of devices to publish and subscribe reliably at scale.
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OPC UA scales through federation and aggregation. An aggregation server connects to multiple OPC UA devices, presents a unified address space, and handles client connections. Clients connect to the aggregator instead of individual devices. Adding devices means configuring the aggregator, not changing the client.
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**3. Native protocol support**
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Work with your equipment, not against it. Siemens PLCs, Rockwell controllers, and Schneider drives speak OPC UA natively. AWS IoT expects MQTT. HiveMQ clusters scale MQTT brilliantly. Fighting native support to use your preferred protocol creates integration work without adding value.
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Work with your equipment, not against it. Many industrial controllers and drives expose data natively over OPC UA, while cloud IoT platforms are designed around MQTT. MQTT broker clusters scale horizontally and handle massive device counts efficiently. Forcing non-native protocols to match personal preferences creates integration work without adding real value.
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**4. Scale characteristics**
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Answer that based on your requirements, not vendor marketing.
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***If you're figuring out how to connect legacy equipment, new sensors, and cloud systems and the answer isn't obvious, we get it. We work through these architecture questions with teams every day. Want to talk through your specific setup? [Get in touch](/contact-us/).***
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***If you're figuring out how to connect legacy equipment, new sensors, and cloud systems and the answer isn't obvious, we get it. We work through these architecture questions with teams every day. Want to talk through your specific setup? [Get in touch](/contact-us/).***
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