AVL Trees:
AVL tree is a self-balancing binary search tree in which each node maintain an extra factor which is called balance factor whose value is either -1, 0 or 1.
B-Tree:
A B-tree is a self – balancing tree data structure that keeps data sorted and allows searches, insertions, and deletions in O(log N) time.
Difference between AVL Tree and B-Tree:
| S.No. |
AVL Trees |
B-Tree |
|---|---|---|
|
1 |
It is a self-balancing binary search tree | It is a multi-way tree(N – ary tree). |
|
2 |
Every node contains at most 2 child nodes | In this tree, nodes can have multiple child nodes |
|
3 |
It has a balance factor whose value is either -1, 0, or 1. Balance factor = (height of left subtree)-(height of right subtree) or Balance factor = (height of right subtree)-(height of left subtree) |
B-Tree is defined by the term minimum degree ‘t‘. The value of ‘t‘ depends upon disk block size. Every node except the root must contain at least t-1 keys. The root may contain a minimum of 1 key. |
|
4 |
AVL tree has a height of log(N) (Where N is the number of nodes). | B-tree has a height of log(M*N) (Where ‘M’ is the order of tree and N is the number of nodes). |
Feeling lost in the world of random DSA topics, wasting time without progress? It’s time for a change! Join our DSA course, where we’ll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!
