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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Datacake platform enables you to implement various Industrial IoT applications, including condition monitoring, data logging, real-time dashboards, and comprehensive data analytics. You can easily connect devices and gateways using LoRaWAN or NB-IoT protocols. With options like MQTT and other interfaces, the platform offers flexibility in integration. Utilizing the Datacake IoT platform along with Ready-to-Use LoRaWAN sensors, you can effectively monitor water levels in various settings, whether in flowing streams, stagnant ponds, or storage containers. Additionally, the platform features modern online mapping tools that allow you to visualize the real-time locations of your IoT assets, such as sensors and machines, on Interactive Maps. You can also track the historical routes traversed by these devices, providing valuable insights directly on the map. Furthermore, you have the capability to upload images and position sensors within detailed floor plans, hall layouts, or other relevant diagrams. This functionality allows you to present on-site conditions to your customers in an intuitive manner. Data can be sent to your devices on Datacake using webhooks, and there are also payload decoders available for handling HTTP requests. By leveraging these features, businesses can enhance their operational efficiency and improve decision-making processes.

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.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Golioth Yes 
Particle Yes 

Integrations

Golioth No 
Particle No 

Pricing Details

€1 per device per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Datacake

Founded

2017

Country

Germany

Website

datacake.co

Vendor Details

Company Name

Kazuhm

Founded

2017

Country

United States

Website

www.kazuhm.com

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

Low-Code Development

AI-Assisted Development No 
Business Process Automation No 
Collaborative Development No 
Data Aggregation and Publishing No 
Deployment Management No 
Drag & Drop No 
Integrations Management No 
Iteration Management No 
Performance Monitoring No 
Requirements Management No 
Templates No 
Visual Modeling No 
Web / Mobile App Development No 
Workflow Management No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

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