SHARE
Facebook X Pinterest WhatsApp

A Closer Look at Modern Industrial Communications Protocols

thumbnail
A Closer Look at Modern Industrial Communications Protocols

While MQTT and OPC UA are suitable for different use cases, they are often used together. Such a hybrid approach enhances interoperability between cloud systems and industrial networks.

Feb 6, 2025

Industrial environments increasingly rely on data interoperability and efficient communication to improve operations and more. As such, modern industrial communications protocols, such as MQTT (Message Queuing Telemetry Transport) and OPC UA (Open Platform Communications Unified Architecture), are playing a key role in balancing security, efficiency, and flexibility in digital transformation strategies.

Several recent trends are driving the adoption of these protocols. To start, organizations are recognizing the untapped potential of industrial data to enhance efficiency, reduce costs, and increase safety. Going hand-in-hand with such realizations is the rise in the use of advanced analytics and AI. The growing use of these technologies has significantly increased the demand for data collection.

Consequently, companies are investing in technologies to streamline data flow between systems while ensuring usability for both humans and machines. There is also increased attention paid to efficient data transmission and meaningful representation of that data, both of which are essential for driving insights and organizational transformation.

What Differentiates One from the Other?

There are several fundamental distinctions between the two protocols.

OPC UA is a more comprehensive protocol. It is both a modeling language and a wire protocol, meaning it defines how data is structured and how it moves across networks. It makes use of a client-server communication infrastructure in that it supports a peer-to-peer model, where clients (such as SCADA systems) establish direct relationships with servers (data providers).

Additionally, OPC UA is structured and deterministic. It ensures highly structured communication, making it suitable for control operations requiring predictability and reliability.

In contrast, MQTT is considered lightweight and flexible. It only defines data transport, meaning the actual content can be anything (e.g., structured industrial data or even a cat video). It uses a publish-subscribe model that involves an intermediary broker, allowing data producers (publishers) to send information without a direct client connection.

In many cases, it is better for remote and cloud data transfers because it is ideal for sending data outside secure networks and allows outbound-only communication.

Advertisement

MQTT and UPC UA: Details and Use Cases

It is important to keep in mind that there are many communication protocols that are used in industrial settings. However, MQTT and OPC UA are probably the two most commonly used ones in such environments. That said, it is important to understand what each protocol does, when to use one versus the other, and how the two can work together.

MQTT

MQTT is a lightweight, publish-subscribe messaging protocol designed for low-bandwidth, high-latency, and remote communication networks. It is widely used in industrial automation, IoT (Internet of Things), and cloud-based applications where efficient, reliable, and scalable data exchange is required. Some of its most common use cases include:

Industrial Automation

  • MQTT enables real-time data collection from sensors, PLCs, and industrial equipment, allowing companies to predict failures and optimize performance.
  • MQTT is used in Supervisory Control and Data Acquisition (SCADA) and Industrial IoT (IIoT) systems for secure, event-driven communication.

Smart Manufacturing and Industry 4.0

  • MQTT brokers act as centralized data hubs, allowing different factory systems (MES, SCADA, PLCs) to exchange information seamlessly.
  • MQTT supports high-frequency data exchange between machines and cloud applications for process optimization.
Advertisement

OPC UA

OPC UA is a cross-platform, service-oriented, industrial communication protocol designed to provide secure, reliable, and scalable data exchange in automation, manufacturing, and industrial IoT (IIoT) environments. It is widely used in factory automation, process control, and industrial data integration to enable seamless interoperability between different devices, applications, and enterprise systems. Some common use cases include:

Industrial Automation and Factory Control

  • OPC UA connects Supervisory Control and Data Acquisition (SCADA) systems, Human-Machine Interfaces (HMI), and Manufacturing Execution Systems (MES).
  • OPC UA enables real-time data flow between Programmable Logic Controllers (PLC) and other industrial devices.
  • OPC UA facilitates Industry 4.0 by allowing machines from different vendors to communicate seamlessly.

Process Control and Real-time Data Monitoring

  • OPC UA is used for real-time monitoring of pressure, temperature, and system performance.
  • OPC UA enables automated responses to critical system alerts.
Advertisement

A Final Word

While MQTT and OPC UA are suitable for different use cases, they are often used together. Specifically, OPC UA can operate over MQTT, merging structured OPC UA data models with MQTT’s publish-subscribe transport model. Such a hybrid approach enhances interoperability between cloud systems and industrial networks.

thumbnail
Salvatore Salamone

Salvatore Salamone is a physicist by training who writes about science and information technology. During his career, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.

Recommended for you...

Designing Data Pipelines for Scale: Principles for Reliability, Performance, and Flexibility
Luis Millares
Dec 19, 2025
The Convergence of AI and Real-Time: IBM Acquires Confluent
2025 Year in Review: Top 5 RTInsights Articles of 2025
The Cost of Doing Nothing About Your Data: Why IT Is Drowning
Andy Boettcher
Dec 8, 2025

Featured Resources from Cloud Data Insights

The Difficult Reality of Implementing Zero Trust Networking
Misbah Rehman
Jan 6, 2026
Cloud Evolution 2026: Strategic Imperatives for Chief Data Officers
Why Network Services Need Automation
The Shared Responsibility Model and Its Impact on Your Security Posture
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.