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Explore the broad functionalities and flexibility that MQTT integration brings to our software, from seamless data transmission to supporting the transformation of data in your projects. Our platform includes:

  • Embedded MQTT Broker
  • SparkplugB Enhancements
  • MQTT Simulator
  • Azure IoT Hub
  • Store-and-Forward
  • HiveMQ Integration

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Embedded MQTT Broker

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Our included MQTT broker and clients help you get connected safely, securely, and economically to a wide and growing variety of devices and systems.

  • Operate our broker independently or link it to a specific solution.
  • Run our Broker as a service and access the solution tag's on demand, without the need to publish anything.
  • Our broker supports BOTH SparkplugB clients AND original MQTT clients, which does not use SparkplugB specification such as Mosquitto.
  • Easily publish/subscribe – great for data-constrained or cost-constrained networks.
  • Great for using as an Edge of Network gateway or communications hub.

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Client Simulator
Client Simulator
MQTT Client Simulator

We are releasing an MQTT Client simulator (with Sparkplug) to make testing easier and faster – testing for projects in general, testing for communication with the software platform MQTT Client, and for testing our new Dynamic Tag Provider functionality with MQTT.

Why struggle with multiple tools? With this simulator, you can easily publish 30k simulated values to the MQTT Broker – all from the same design environment.

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HiveMQ
HiveMQ
HiveMQ

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Contact us for further information.


We have simplified the process of selecting an MQTT Broker!

Those versed with MQTT know that projects using this technology need a MQTT Broker: with our software platform, we connect to any brokers that use MQTT protocols, as well as MQTT SparkplugB and Azure IoT, and also including an embedded MQTT Broker for testing and development.

As your applications expand, or if you want the benefits and support of an enterprise class MQTT Broker, you can buy a bundled HiveMQ subscription license with any product.

  • Available in multiple configurations.

  • HiveMQ Industrial Edge – Basic Edition – 250 MQTT Clients.

  • HiveMQ Industrial Edge – Premier Edition – 1000 MQTT Clients.

  • HiveMQ Professional Edition – Unlimited Clients.

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Edge Store-And-Forward

Canary and MQTT

We added the Store-And-Forward functionality when our software platform publishes data to the Canary Historian or a MQTT Broker, which means we temporary store the data of a message for transmission to its destination at a later time, in case the network is not accessible for any reason. 

This feature is crucial in data collection projects, where the data is sent to a remote repository.

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MQTT Workshop

This workshop provides an overview of these tools and instructions on integrating them into your projects.

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MQTT Data Explorer Tools

MQTT Tools, an integrated function in FrameworX, serves as a robust bridge for configuring and managing the transmission of MQTT data in various ways. It allows you to easily perform data mining and monitoring from various data sources.


To see more datails about this funcion, please see the Data Explorer page.

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MQTT Integrations refer to the native support for the MQTT communication protocol in the software platform for data transmission and integration with IoT ecosystems. These integrations solve the challenge of data exchange across devices, services, applications, and systems in distributed environments. The platform includes features such as an embedded MQTT Broker, SparkplugB for interoperability, an MQTT Simulator for testing, Azure IoT Hub for cloud connectivity, a Store-and-Forward mechanism for reliable data delivery, and HiveMQ for scalable MQTT applications. They enable software platforms to connect to MQTT brokers, subscribe to topics, and publish data, thereby establishing a comprehensive IoT connectivity framework. It includes support for data encapsulation, topic-based message filtering, and various Quality of Service levels to ensure network-compatible message delivery. Applications range from sensor data collection to complex IoT ecosystems with multiple devices and systems. Configuration involves setting up a broker, initiating the connection, defining topics, and implementing SSL/TLS for secure communication. Users interact with these integrations through the software interface, configuring connections to IoT hubs and simulating data flows to validate architectures, thus enabling secure IoT communications.

Check out the available MQTT integrations:

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Integrations

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