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Efficient Data Processing: Assessing the Performance of Different Programming Languages

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Samuel KounevAuthors Info & Claims

ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering

Pages 83 - 87

https://doi.org/10.1145/3578245.3584691

Published: 15 April 2023 Publication History

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Abstract

This paper compares the performance of R, Python, and Rust in the context of data processing tasks. A real-world data processing task in the form of an aggregation of benchmark measurement results was implemented in each language, and their execution times were measured. The results indicate that while all languages can perform the tasks effectively, there are significant differences in performance. Even the same code showed significant runtime differences depending on the interpreter used for execution. Rust and Python were the most efficient, with R requiring much longer execution times. Additionally, the paper discusses the potential implications of these findings for data scientists and developers when choosing a language for data processing projects.

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Rui Pereira, Marco Couto, Francisco Ribeiro, Rui Rua, Jácome Cunha, João Paulo Fernandes, and João de Sousa Saraiva. 2017. Energy efficiency across programming languages: how do energy, time, and memory relate? Proceedings of the 10th ACM SIGPLAN International Conference on Software Language Engineering (2017).

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Norbert Schmitt, Supriya Kamthania, Nishant Rawtani, Luis Mendoza, Klaus-Dieter Lange, and Samuel Kounev. 2021. Energy-Efficiency Comparison of Common Sorting Algorithms. 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2021), 1--8.

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Cited By

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Steuteville RBaker CSteuteville RBaker C(2024)Implementing Ordinary Differential Equation Solvers in Rust Programming Language for Modeling Vehicle Powertrain SystemsSAE Technical Paper Series10.4271/2024-01-2148Online publication date: 16-Apr-2024
https://doi.org/10.4271/2024-01-2148
Meglio SLibero Lucio Starace L(2024)Evaluating Performance and Resource Consumption of REST Frameworks and Execution Environments: Insights and Guidelines for Developers and CompaniesIEEE Access10.1109/ACCESS.2024.348989212(161649-161669)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3489892

Index Terms

Efficient Data Processing: Assessing the Performance of Different Programming Languages
1. General and reference
  1. Cross-computing tools and techniques
    1. Measurement
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
  2. Software organization and properties
    1. Extra-functional properties
      1. Software performance

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Published In

ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering

April 2023

421 pages

ISBN:9798400700729

DOI:10.1145/3578245

General Chairs:
Marco Vieira
University of Coimbra, Portugal
,
Valeria Cardellini
University of Rome Tor Vergata, Italy
,
Program Chairs:
Antinisca Di Marco
University of L'Aquila, Italy
,
Petr Tuma
Charles University, Czechia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 15 April 2023

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ICPE '23: ACM/SPEC International Conference on Performance Engineering

April 15 - 19, 2023

Coimbra, Portugal

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Steuteville RBaker CSteuteville RBaker C(2024)Implementing Ordinary Differential Equation Solvers in Rust Programming Language for Modeling Vehicle Powertrain SystemsSAE Technical Paper Series10.4271/2024-01-2148Online publication date: 16-Apr-2024
https://doi.org/10.4271/2024-01-2148
Meglio SLibero Lucio Starace L(2024)Evaluating Performance and Resource Consumption of REST Frameworks and Execution Environments: Insights and Guidelines for Developers and CompaniesIEEE Access10.1109/ACCESS.2024.348989212(161649-161669)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3489892

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Performance analysis for languages hosted on the truffle framework

Bringing dynamic languages to .NET with the DLR

Are scripting languages really different?

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