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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.

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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