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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
Through the console, SDK, or Cloud API, users can swiftly activate device connectivity and data communication, all while bypassing concerns about the intricate details of the communication protocols in use. To enhance security, a robust network transfer protocol is implemented for both device access and data exchange, which mandates device authentication via certificate verification to effectively guard against unauthorized access, data breaches, and interference. By integrating the link between device data and Tencent Cloud services through the rule engine, IoT Hub streamlines the processes of data storage, real-time computation, and sophisticated analytics for handling extensive datasets. Additionally, IoT Hub provides access to Tencent Cloud RayData, a big data visualization service that empowers users to visualize, contextualize, and engage with the vast amounts of information generated by IoT devices using advanced real-time rendering techniques. This functionality not only enriches data interactions but also supports tailored management and utilization of the data, making it easier for users to derive actionable insights. Ultimately, this combination of features positions IoT Hub as a powerful tool for businesses aiming to optimize their IoT data strategies.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
APIPark
Azure IoT Edge
Bright Wolf Industrial IoT Platform
EasyTerritory
Equinix Smart View
Everyware Software Framework (ESF)
FactoryTalk Edge Gateway
FairCom DB
FairCom EDGE
Integrations
Azure Marketplace
APIPark
Azure IoT Edge
Bright Wolf Industrial IoT Platform
EasyTerritory
Equinix Smart View
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
Tencent
Founded
2013
Country
China
Website
intl.cloud.tencent.com/product/iothub
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