Breadth-first search explores all neighbors of a node before moving on to the next level, while depth-first search goes as deep as possible before backtracking. Breadth-first search is more systematic and guarantees the shortest path, but requires more memory. Depth-first search is more memory-efficient but may not find the shortest path. The choice between the two depends on the specific problem and desired outcomes.