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Description
A managed service facilitates two-way communication between IoT devices and Azure, ensuring secure and dependable interaction between your IoT application and its managed devices. With Azure IoT Hub, you have access to a cloud-based backend that can connect almost any device seamlessly. Moreover, you can enhance your solution from the cloud to edge devices through features like per-device authentication, integrated device management, and scalable provisioning options. By utilizing telemetry data from devices to the cloud, you can gain insights into device status and establish message pathways to other Azure services effortlessly, without the need for coding. For cloud-to-device messages, you can reliably send commands and alerts to your connected devices while monitoring message delivery via acknowledgment receipts. The system also allows for automatic resending of messages to address any connectivity issues that may arise. Azure IoT Central goes beyond just proof of concept; it empowers you to create top-tier solutions using a comprehensive hosted IoT application platform, thus fostering innovation in your projects. This combination of features positions Azure as a leading choice for IoT communication solutions.
Description
Harness the power of your worldwide device network through a sophisticated IoT platform that offers scalable and fully managed integration, enabling you to connect, store, and analyze data both at the edge and in the cloud. Discover how effectively your devices can operate with a platform that accommodates a variety of operating systems, seamlessly integrates with Debian Linux, and provides out-of-the-box compatibility with top brands such as Intel and Microchip. With a comprehensive suite of IoT building blocks from Google Cloud, you can transform your device data into actionable insights from ingestion to intelligence. The IoT platform from Google Cloud can automatically forecast maintenance needs for your equipment and enhance performance in real-time, while also predicting potential downtimes, identifying anomalies, and monitoring the status, state, and location of your devices. Additionally, leverage Google Cloud IoT’s logistics solution to execute crucial operations like fleet management, inventory tracking, and cargo integrity monitoring, ensuring your business remains efficient and competitive. By adopting this platform, organizations can significantly enhance their operational capabilities and drive better decision-making processes.
API Access
Has API
API Access
Has API
Integrations
Cogent DataHub
Azure IoT Edge
Azure Marketplace
Bright Wolf Industrial IoT Platform
Buddy
Dataddo
Everyware Software Framework (ESF)
FactoryTalk Edge Gateway
FairCom DB
FairCom EDGE
Integrations
Cogent DataHub
Azure IoT Edge
Azure Marketplace
Bright Wolf Industrial IoT Platform
Buddy
Dataddo
Everyware Software Framework (ESF)
FactoryTalk Edge Gateway
FairCom DB
FairCom EDGE
Pricing Details
$10 per IoT unit per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/iot-hub/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/solutions/iot
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization