MQTT Integrations refer to tools and software platform features to operate with the MQTT protocol for data transmission and integration with IoT ecosystems. The purpose of these integrations is to facilitate communication across devices and services, solving the challenge of data exchange in distributed systems.
This suite includes an embedded MQTT Broker, SparkplugB enhancements for interoperability, an MQTT Simulator for testing, integration capabilities with Azure IoT Hub for cloud connectivity, a Store-and-Forward mechanism to ensure data delivery despite connectivity issues, and HiveMQ Integration for scalability in MQTT applications.
Configuring these integrations requires technical setup within the software platform, specifying brokers, topics, and connectivity options. Users employ these integrations through the software's interface, using MQTT to publish or subscribe to data, configure connections to IoT hubs, and simulate data flows to validate solution architectures.
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Integrations
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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
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.
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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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.
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.
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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