You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 47 Next »

Explore the broad functionalities and tools, our platform has out-of-box to speed up appositions around MQTT.

Built-in MQTT Broker

From Edge to Plant, Linux and Window, FrameworX 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 published the data model define in a XML, simulating data for multiple devices. Read more.

MQTT Data Explorer Tools

Integrated MQTT client, capable to browse browser combining both flat and SparkplugB data. Browser data sources, and with one click incorporate it in your solution.  Read more.

MQTT Communication Drivers

Application and Publihser communication drivers for plain MQTT, SparkPlugB, and Azure IoT, allowing easy mapping of topics to local Tags in your application. Read more.

Dynamic AssetTree Integration

Use directly the MQTT data, in Displays, Scripts, Historian,  and other modules, without creating tags, nor defining mapping associations, using our AssetTree Dynamic Integration. Read more. Build deft-aware displays created in real-time according its data. Read more.

JSON Tags, Arrays and Templates

FrameworX Realtime Database, in addition to traditional SCADA Data Types, support JSON Tags, Arrays and Hierarchical Templates. Allowing much more easier and power packing and unpacking of Payloads for Advanced applications. Read more.

Edge Store & Forward Data Collector

Our Edge devices has out-of-box 70+ communication protocols, ability to work as protocol converter, local Database and Scripts, and Store & Forward data collection to Historian tools and MQTT Brokers. Read more.

HiveMQ Cloud Broker Integration

For enterprise-wide solutions, cloud hosted, FrameworX ensures full technical compatibility with HiveMQ Broker and easy integration. Learn more watching Tatsoft and HiveMQ webinar.



In this section:

  • No labels