# DFS vs. BFS: What Is the Difference?

### Breadth-first search and depth-first search are the most popular tree traversal algorithms. In this article, learn the key differences between DFS and BFS.

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As a computer science student, I know how important it is to understand tree traversal algorithms. I suggest every beginner should clarify the basic differences between these two algorithms.

Breadth-first search (BFS) and depth-first search (DFS) are the most popular tree traversal algorithms. Both techniques include visiting all the edges and vertices of a graph but the most important difference between them is that they perform different data structures. BFS applies queue data structure and DFS applies the stack data structure. Depending on this difference, we can determine between the two methods which one is appropriate for a particular purpose.

In this article, I will discuss the key differences between DFS and BFS.

## What Is Depth-First Search?

Depth-first search is a recursive algorithm that is used to find trees or graph a data structure. This algorithm uses the concept of backtracking and searches in-depth ward direction. The implementation of this algorithm starts at the root node and searches as far as possible before the backtracking process. DFS uses the stack data structure to recall when a dead-end comes to pick the further nodes. Learn more about the depth-first search algorithm here.