AVL and Red black trees are both self-balancing except Red and black color in the nodes. What\'s the main reason for choosing Red black trees instead of AVL trees? What are the
Try reading this article
It offers some good insights on differences, similarities, performance, etc.
Here's a quote from the article:
RB-Trees are, as well as AVL trees, self-balancing. Both of them provide O(log n) lookup and insertion performance.
The difference is that RB-Trees guarantee O(1) rotations per insert operation. That is what actually costs performance in real implementations.
Simplified, RB-Trees gain this advantage from conceptually being 2-3 trees without carrying around the overhead of dynamic node structures. Physically RB-Trees are implemented as binary trees, the red/black-flags simulate 2-3 behaviour
As far as my own understanding goes, AVL trees and RB trees are not very far off in terms of performance. An RB tree is simply a variant of a B-tree and balancing is implemented differently than an AVL tree.