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

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.