| It stands for “Breadth First Search” | It stands for “Depth First Search” |
| BFS (Breadth First Search) finds the shortest path using the Queue data structure. | DFS (Depth First Search) finds the shortest path using the Stack data structure. |
| We walk through all nodes on the same level before passing to the next level in BFS. | DFS begins at the root node and proceeds as far as possible through the nodes until we reach the node with no unvisited nearby nodes. |
| When compared to DFS, BFS is slower. | When compared to BFS, DFS is faster. |
| BFS performs better when the target is close to the source. | DFS performs better when the target is far from the source. |
| BFS necessitates more memory. | DFS necessitates less memory. |
| Nodes that have been traversed multiple times are removed from the queue. | When there are no more nodes to visit, the visited nodes are added to the stack and then removed. |
| Backtracking is not an option in BFS. | The DFS algorithm is a recursive algorithm that employs the concept of backtracking. |
| It is based on the FIFO principle (First In First Out). | It is based on the LIFO principle (Last In First Out). |
