Explore the broad functionalities and tools that our platform has out of the box to speed up applications around MQTT.
Built-in MQTT Broker
From Edge to Plant, Linux and Windows, our platform comes with a native MQTT Broker with extended features, such as automatically exposing the application tags. Read more.
SparkplugB Publisher Simulator
Speed up your development with the configurable MQTT client. It publishes the data model defined in an XML, simulating data for multiple devices. Read more.
MQTT Data Explorer Tools
Integrated MQTT client, capable of browsing both flat and SparkplugB data. Browse data sources and incorporate it in your solution with one click. Read more.
MQTT Communication Drivers
Application and Publisher communication drivers for plain MQTT, SparkPlugB, and Azure IoT, allowing easy mapping of topics to local Tags in your application. Read more.
Edge Store & Forward Data Collector
Our Edge devices have 70+ communication protocols out of the box. It also includes the ability to work as protocol converter, local Database and Scripts, and Store & Forward data collection to Historian tools and MQTT Brokers. Read more.
Dynamic AssetTree Integration
Use MQTT data directly in Displays, Scripts, Historian, and other modules without creating tags or defining mapping associations, using our AssetTree Dynamic Integration. Build self-aware displays created in real time according to their data. Read more.
JSON Tags, Arrays and Templates
Our real-time database, in addition to traditional SCADA Data Types, supports JSON Tags, Arrays and Hierarchical Templates. This allows for a much easier and more powerful packing and unpacking of Payloads for Advanced applications. Read more.
HiveMQ Cloud Broker Integration
For enterprise-wide solutions hosted in the cloud, the platform ensures full technical compatibility and easy integration with the HiveMQ Broker. Read more.
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Introduction
With FactoryStudio 9.2 we're releasing new MQTT Tools. You'll be able to use MQTT in your projects to leverage all the functionalities you can find in our software, visualizing, analyzing and transforming data.
In this version, you'll find:
- New Embedded Broker
- SparkplugB Enhancements
- New MQTT Simulator
- Azure IoT Hub
- Store-and-Forward
- HiveMQ Integration
Embedded 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.
- Run our broker on its own or tied to a project.
- Tied to a project, our MQTT broker can also expose all project namespaces and properties.
- Our broker supports BOTH Sparkplug B clients AND original MQTT clients, which does not use Sparklug B 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 made choosing A MQTT Broker much easier!
Those familiar 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 functionality is essential in data collection projects, where the data is sent to a remote repository.
MQTT Workshop
In this workshop, you'll find an overview of these tools and how to use them in your projects.
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