Real-Time Edge Computing with MQTT Platform
Connect, move, and process your IoT data in real-time at the edge, integrating seamlessly with AI/ML algorithms and cloud services.
Capabilities
Industrial Connectivity
Connect diverse industrial devices and sensors with 80+ industrial protocols, including Modbus, OPC-UA, Ethernet/IP, and more, converting to MQTT for real-time data communication.
Realtime Messaging
Enhance the real-time data exchange between devices, edge systems, and cloud services using MQTT's reliable, lightweight, and efficient pub-sub messaging.
Rule Engine
Process and react to data based on predefined conditions. Enable edge automation and real-time decision-making for improved efficiency and responsiveness.
Stream Processing
Process and analyze continuous data streams from multiple sources at the edge. Reduces latency, saves bandwidth, and offloads computational tasks from the cloud platform.
AI/ML Integration
Integrate with AI tools and apply ML models at the edge to enable predictive analysis and intelligent decision-making in real-time.
Cloud Integration
Integrate seamlessly with cloud services by transferring real-time data from the edge to cloud storage, machine learning, and analytics systems.
Use Cases
- Software-Defined Vehicles
- Predictive Maintenance
- Smart Cities
- Energy Management
- Agriculture
- Healthcare
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Software-Defined Vehicles
In autonomous vehicles, edge computing with MQTT enables quick, safety-critical decisions and efficient communication, enhancing performance while reducing reliance on constant cloud connectivity.
