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A Comparison of Java, Flutter and Kotlin/Native Technologies for Sensor Data-Driven Applications.

Kamil Wasilewski¹, Wojciech Zabierowski¹

¹Department of Microelectronic and Computer Science, Lodz University of Technology, ul. Wólczańska 221/223, 90-924 Łódź, Poland.

Sensors (Basel, Switzerland)

|June 2, 2021

Summary

This summary is machine-generated.

This study compares Java, Flutter, and Kotlin/Native for Android sensor data applications, evaluating efficiency and resource use. Flutter demonstrated superior performance and resource management compared to Java and Kotlin/Native.

Keywords:

mobile applications mobile frameworks performance measures programming language selection

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Area of Science:

Computer Science
Software Engineering
Mobile Computing

Background:

The rapid advancement and widespread adoption of mobile technologies have driven a significant increase in demand for mobile applications.
Choosing the right development technology is crucial for mobile application success, especially for data-intensive tasks.

Purpose of the Study:

To compare the efficiency and resource utilization of Android mobile applications developed using Java, Flutter, and Kotlin/Native.
To provide insights for developers selecting a technology stack for sensor data processing and analysis applications.

Main Methods:

Comparative analysis of application performance metrics.
Evaluation of resource consumption (CPU, memory) for each technology.
Development of Android applications utilizing sensor data processing in Java, Flutter, and Kotlin/Native.

Main Results:

Flutter applications exhibited higher efficiency and lower resource utilization compared to Java and Kotlin/Native.
Java applications showed moderate performance but higher resource consumption.
Kotlin/Native applications presented challenges in resource management and efficiency for sensor data tasks.

Conclusions:

Flutter is recommended for developing efficient and resource-conscious Android applications for sensor data processing.
Developers should carefully consider the trade-offs between Java, Flutter, and Kotlin/Native based on specific project requirements for sensor data analysis.
Further research could explore cross-platform capabilities and long-term maintenance implications.