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Description
By 2025, the Internet of Things (IoT) is expected to encompass 41 billion devices that will generate over 76 zettabytes of data. Organizations are increasingly implementing IoT initiatives to enhance manufacturing efficiency and ensure employee safety. Various sectors, including utilities, agriculture, energy, and healthcare, are leveraging networks of interconnected sensors to gather a plethora of observable and actionable insights. However, to unlock the full potential of IoT initiatives, it is crucial for data to be processed swiftly enough to influence decisions within microseconds. Additionally, the costs associated with data processing and storage must remain low to allow organizations to achieve a favorable return on investment. A novel distributed computing technology called Kazuhm is designed to facilitate the processing of IoT data directly across networks, on the devices where it originates, enabling ultra-low latencies and reducing costs compared to traditional cloud or edge solutions. This innovative approach not only optimizes data handling but also empowers businesses to respond to real-time insights more effectively.
Description
Nubix is an innovative container platform designed to simplify the development and deployment of Internet of Things (IoT) and edge applications. It is capable of operating on the smallest microprocessors, allowing developers to seamlessly process data directly on the sensor devices that generate it. Unlike traditional methods that necessitate complete firmware replacements—which can sometimes lead to devices becoming inoperable—Nubix mitigates this risk by utilizing tiny containers whose code operates independently from the underlying operating system, thereby enhancing release speed and reducing potential failures. Many existing edge architectures fail to provide true edge computing, compelling developers to send data to the cloud or intermediate gateways for processing. In contrast, Nubix's edge-native architecture empowers processing to occur directly on the devices where data originates, thus eliminating the latency and inefficiencies associated with external networking and remote data handling. Moreover, Nubix is founded on open source technologies, ensuring that users are not confined to proprietary languages and libraries, which enhances flexibility and long-term viability. This commitment to openness also fosters a community-driven approach to innovation, making it a compelling choice for developers seeking to advance their IoT initiatives.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Kazuhm
Founded
2017
Country
United States
Website
www.kazuhm.com
Vendor Details
Company Name
Nubix
Founded
2017
Country
United States
Website
www.nubix.io
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
Container Management
Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization