BFS uses a lot of memory, especially when the tree's branching factor is high. DFS, on the other hand, may take a lengthy time to visit additional nearby nodes if the tree's depth is large, but it has a lower space complexity. BFS works well when it comes to finding vertices that are close to the specified source. When there are solutions that are not available from the source, the use of DFS is preferred. Backtracking is essential in DFS, unlike in BFS. BFS traverses based on tree level, whereas DFS traverses based on tree depth.