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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 Datacake?

The Datacake platform provides an array of tools for developing Industrial IoT applications such as condition monitoring, data logging, real-time dashboards, and in-depth data analytics. You have the ability to seamlessly connect devices and gateways via protocols like LoRaWAN or NB-IoT. The platform is designed for integration flexibility, featuring options like MQTT and other interfaces. By utilizing the Datacake IoT platform together with Ready-to-Use LoRaWAN sensors, you can efficiently oversee water levels in a variety of environments, including flowing streams, still ponds, and storage containers. Moreover, the platform includes advanced online mapping tools that enable you to visualize the current locations of your IoT assets, including sensors and machinery, on interactive maps. You can also analyze the historical paths taken by these devices, which offers valuable insights directly within the mapping interface. Additionally, there's the option to upload images and place sensors onto detailed floor plans, hall layouts, or other pertinent diagrams, facilitating a clear presentation of on-site conditions for your clients. Information can be transmitted to your devices on Datacake through webhooks, and payload decoders are available to manage HTTP requests effectively. By capitalizing on these robust features, companies can significantly boost their operational efficiency and make better-informed decisions. Ultimately, the versatility of the Datacake platform empowers businesses to create bespoke IoT solutions tailored to their specific needs.

Media

Media

Integrations Supported

Golioth
Particle

Integrations Supported

Golioth
Particle

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€1 per device per month
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

Datacake

Date Founded

2017

Company Location

Germany

Company Website

datacake.co

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

Low-Code Development

AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management

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