An AVL tree is a self-balancing binary search tree where the difference between heights of left and right subtrees cannot be more than one. A Red Black Tree is a category of the self-balancing binary search tree.
Differences between Red Black Tree and AVL Tree are stated below
| Basis of comparison | Red Black Trees | AVL Trees |
|---|---|---|
| Lookups | Red Black Trees has fewer lookups because they are not strictly balanced. | AVL trees provide faster lookups than Red-Black Trees because they are more strictly balanced. |
| Colour | In this, the color of the node is either Red or Black. | In this, there is no color of the node. |
| Insertion and removal | Red Black Trees provide faster insertion and removal operations than AVL trees as fewer rotations are done due to relatively relaxed balancing. | AVL trees provide complex insertion and removal operations as more rotations are done due to relatively strict balancing. |
| Storage | Red Black Tree requires only 1 bit of information per node. | AVL trees store balance factors or heights with each node thus requiring storage for an integer per node. |
| Searching | It does not provide efficient searching. | It provides efficient searching. |
| Uses | Red-Black Trees are used in most of the language libraries like map, multimap, multiset in C++, etc. | AVL trees are used in databases where faster retrievals are required. |
| Balance Factor | It does not gave balance factor | Each node has a balance factor whose value will be 1,0,-1 |
| Balancing | Take less processing for balancing i.e.; maximum two rotation required | Take more processing for balancing |