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A Comparative Analysis of Bubble Sort, Insertion Sort, and Selection Sort

5 min readJun 6, 2025

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Photo by Sophie Elvis on Unsplash

Introduction

Sorting is one of the most fundamental operations in computer science and data processing. It plays a crucial role in optimizing the efficiency of algorithms involving searching, data presentation, and more. Among the numerous sorting algorithms available, Bubble Sort, Insertion Sort, and Selection Sort are among the simplest and most intuitive.

Although not always efficient for large datasets, these algorithms serve as the building blocks for understanding more complex sorting techniques. This article provides a comprehensive comparison of Bubble Sort, Insertion Sort, and Selection Sort, analyzing their logic, time and space complexity, performance scenarios, and relative strengths and weaknesses.

Understanding Sorting Algorithms

Sorting involves arranging data in a specific order — typically ascending or descending. Efficient sorting algorithms are essential in various domains such as databases, search engines, data analytics, and even UI rendering.

Before diving into each algorithm, it’s important to establish the criteria for comparison:

Comparison Criteria

  1. Time Complexity — Best, Average, and Worst Case

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Aditya Bhuyan
Aditya Bhuyan

Written by Aditya Bhuyan

I am Aditya. I work as a cloud native specialist and consultant. In addition to being an architect and SRE specialist, I work as a cloud engineer and developer.

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