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What is Tencent Cloud IoT Hub?

Users are able to quickly enable device connectivity and facilitate data communication through the console, SDK, or Cloud API, all while avoiding the complexities of the underlying communication protocols. To bolster security, a stringent network transfer protocol is employed for accessing devices and exchanging data, requiring devices to undergo authentication through certificate validation to protect against unauthorized access, data breaches, and disruptions. By connecting device data with Tencent Cloud services via the rule engine, IoT Hub simplifies the processes of data storage, real-time processing, and advanced analytics for managing large datasets. Moreover, IoT Hub grants access to Tencent Cloud RayData, a visualization tool that enables users to interpret, contextualize, and interact with the substantial data generated by IoT devices through cutting-edge real-time rendering methods. This capability not only enhances user engagement with the data but also facilitates customized management and application of the information, allowing users to extract meaningful insights more effectively. Furthermore, the integration of these features makes IoT Hub an indispensable asset for enterprises looking to refine their IoT data strategies and drive informed decision-making.

What is Kazuhm?

By the year 2025, it is anticipated that the Internet of Things (IoT) will comprise 41 billion devices capable of producing over 76 zettabytes of data. In response, organizations are increasingly adopting IoT strategies aimed at boosting manufacturing productivity and prioritizing employee safety. A variety of industries, such as utilities, agriculture, energy, and healthcare, are harnessing interconnected sensor networks to collect a wide range of observable and actionable insights. Nevertheless, to fully realize the benefits of IoT projects, it is essential for data to be processed rapidly enough to impact decision-making in microseconds. Furthermore, managing the costs tied to data processing and storage is vital for organizations seeking a solid return on investment. To address these challenges, a groundbreaking distributed computing technology known as Kazuhm has emerged, designed to process IoT data directly within networks on the originating devices, which facilitates ultra-low latency and lowers costs compared to conventional cloud or edge solutions. This cutting-edge method not only streamlines data management but also equips companies to react to real-time information with greater efficiency and agility. Ultimately, the integration of such technologies could redefine how businesses operate and respond to the dynamic demands of their industries.

Media

Media

Integrations Supported

APIPark
Azure Marketplace
Tencent Cloud

Integrations Supported

APIPark
Azure Marketplace
Tencent Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tencent

Date Founded

2013

Company Location

China

Company Website

intl.cloud.tencent.com/product/iothub

Company Facts

Organization Name

Kazuhm

Date Founded

2017

Company Location

United States

Company Website

www.kazuhm.com

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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