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A Comprehensive Evaluation of IoT Cloud Platforms: A Feature-Driven Review with a Decision-Making Tool
Ioannis Chrysovalantis Panagou1, Stylianos Katsoulis1, Evangelos Nannos1
1TelSiP Research Laboratory, Department of Electrical and Electronic Engineering, School of Engineering, University of West Attica, Ancient Olive Grove Campus, 250 Thivon Str., GR-12241 Athens, Greece.
Sensors (Basel, Switzerland)
|August 28, 2025
Summary
Choosing the right Internet of Things (IoT) Cloud Platform is crucial. This study reviews twelve platforms on key features and introduces a tool to help users select the best IoT Cloud Platform for their needs.
Area of Science:
- Computer Science
- Cloud Computing
- Internet of Things
Background:
- The Internet of Things (IoT) ecosystem relies heavily on cloud platforms for data management.
- Selecting an appropriate IoT Cloud Platform is challenging due to diverse features and pricing.
Purpose of the Study:
- To provide a comprehensive, feature-driven review of twelve leading IoT Cloud Platforms.
- To introduce a novel web-based tool for personalized IoT Cloud Platform evaluation.
Main Methods:
- Comparative analysis of twelve IoT Cloud Platforms across nine key features.
- Quantitative scoring (1-10) for each platform's features.
- Development of an interactive 'IoT Cloud Platforms Selector' tool.
Main Results:
- A detailed, two-dimensional comparative overview of platform capabilities.
- Quantitative scores for Security, Scalability, Interoperability, Analytics, Edge, Pricing, Developer Tools, Compliance, and OTA updates.
- A functional web-based tool for weighted platform selection.
Conclusions:
- The research offers a valuable resource for navigating the complex IoT Cloud Platform landscape.
- The 'IoT Cloud Platforms Selector' tool empowers informed decision-making for businesses and developers.
- This study aids in selecting optimal IoT Cloud Platforms based on specific user priorities.
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