In this post, we will understand the difference between B-tree and Binary tree.
Here, a node can have a maximum of ‘M'(where ‘M’ is the order of the tree) child nodes.
It is also known as a sorted tree.
The nodes are present in ‘inorder’ traversal mode.
It has a height of log M N (where ‘M’ is the order of tree and N is the number of nodes).
Operations are performed on a B-Tree when data is loaded to the disk.
It is used in database management system to index code.
It can also be used to insert the data or key in a B-tree.
This is a big procedure in comparison to operations on a binary tree.
Here, a node can have maximum two child nodes (they are also known as sub-trees).
It is not a sorted tree.
It can be sorted in inorder, preorder or postorder traversal.
It has a height of log2 N (base 2, log N, where N is the number of nodes).
Binary tree operations are used when data is loaded to the RAM (quicker).
Its applications include usage in Huffman coding.
It is also used in code optimization methods.
Data insertion is relatively easier in comparison to B-Tree.