Red Black Tree vs Avl Tree

Posted September 12, 2022 by Rohith and Anusha ‐ 2 min read

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 comparisonRed Black TreesAVL Trees
LookupsRed 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.
ColourIn this, the color of the node is either Red or Black.In this, there is no color of the node.
Insertion and removalRed 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.
StorageRed 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.
SearchingIt does not provide efficient searching.It provides efficient searching.
UsesRed-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 FactorIt does not gave balance factorEach node has a balance factor whose value will be 1,0,-1
BalancingTake less processing for balancing i.e.; maximum two rotation requiredTake more processing for balancing
quick-references blog avl-tree red-black-tree differences

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