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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.

What is ESF Edge Computing Platform?

Edge Computing facilitates the processing of data closer to its origin, effectively at the periphery of the network. This strategy significantly reduces the communication bandwidth needed between sensors and centralized data centers, as analytics and insights are produced on-site. The IoT service gateway model, which employs powerful enterprise software frameworks and functions as a controller and aggregator within IoT systems, provides an excellent foundation for deploying Edge Computing solutions. Eurotech’s Everyware Software Framework (ESF) is recognized as a commercial, enterprise-grade variant of Eclipse Kura, an open-source platform tailored for Edge Computing in IoT gateways. Distributed and supported by Eurotech, ESF enhances Eclipse Kura with advanced features that improve security, diagnostics, provisioning, remote access, and seamless integration with Everyware Cloud, Eurotech's IoT Integration Platform. Moreover, this integration not only amplifies the effectiveness of IoT deployments but also promotes improved efficiency in managing data flows, ultimately leading to a more responsive and streamlined operational environment.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Kazuhm

Date Founded

2017

Company Location

United States

Company Website

www.kazuhm.com

Company Facts

Organization Name

Eclipse Kura

Company Website

esf.eurotech.com/v5.0.0/docs/edge-computing-platform

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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