AVL vs Red-Black Tree
AVL and Red-Black Trees are self-balancing Binary Search Trees. AVL Trees maintain a stricter balance condition: the height difference between the left and right subtrees of every node is at most one. Red-Black Trees use node colors and a set of invariants to guarantee logarithmic height while allowing more structural flexibility. AVL trees generally provide faster lookups due to tighter balance, while Red-Black Trees often provide efficient updates with fewer rotations.
Both guarantee O(log n) search, insertion, and deletion.
AVL is more strictly balanced.
Red-Black Trees generally require fewer rotations during updates.
AVL is attractive for read-heavy workloads.
Red-Black Trees are common in ordered maps and sets.