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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
API Access
Has API
Integrations
Golioth
Particle
Pricing Details
€1 per device per month
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
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
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
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization