Vetted Score
4.6
/ 5.0
Earns a high score for its robust edge analytics, flexible AI deployment, and strong support for diverse IoT protocols.
Key Features
Real‑time Stream Processing
Process sensor data at the edge with low latency using built‑in SQL and Python operators.
AI Model Deployment
Deploy and run machine‑learning models directly on edge nodes without cloud round‑trips.
Scalable Connectivity
Connect thousands of devices via MQTT, OPC-UA, and REST APIs with automatic device management.
Frequently Asked Questions
Yes, FogHorn offers a free Community edition with limited data ingestion and feature set, suitable for development and small deployments.
FogHorn is compatible with Linux, Windows, macOS, and common edge hardware architectures such as ARM and x86.
Yes, you can import and run TensorFlow, PyTorch, and ONNX models directly on edge devices through FogHorn’s AI runtime.
Featured Lists & Comparisons
Top 20 Alternatives to PTC ThingWorx in Internet of Things (IoT) Platforms Software
Top 20 Alternatives to SAP IoT in IoT Platforms Software
Top 20 Alternatives to Losant in Internet of Things (IoT) Platforms Software
Top 30 Internet of Things (IoT) Platforms Software
Top 20 Alternatives to Zerynth in Internet of Things (IoT) Platforms
Top 20 Alternatives to ThingsMesh in Internet of Things (IoT) Platforms Software
Specifications
Pricing Model
Free tier with limited data ingestion; paid plans start at $99.00 per month and scale up to $199.00 for enterprise features.
Supported Platforms
LinuxWindowsmacOSEdge devices (ARM, x86)