DFS uses a stack to keep track of the nodes to be explored, either explicitly or through recursion.

DFS is preferred when exploring all possible paths, such as in puzzles or games where all solutions need to be considered.

BFS is commonly used to find connected components in an unweighted graph.

BFS uses a queue to keep track of the nodes that need to be explored next.

DFS is not suitable for finding shortest paths in unweighted graphs as it does not explore all neighbors at the current depth before going deeper.

DFS can be more memory efficient in sparse graphs because it does not need to store all the nodes at the current level, unlike BFS.

BFS is guaranteed to find the shortest path in an unweighted graph because it explores all neighbors at the present depth prior to moving on to nodes at the next depth level.