A binary tree is the special type of general tree. Unlike B-tree, in a binary tree a node can have at most two nodes. In a binary tree, there is a limitation on the degree of a node because the nodes in a binary tree can’t have more than two child node(or degree two). B-Tree is known as a self-balancing tree as its nodes are sorted in the inorder traversal. Unlike the binary trees, in B-tree, a node can have more than two children.
Differences between B-tree and Binary tree are stated below
| B-tree | Binary tree |
|---|---|
| In a B-tree, a node can have maximum ‘M’(‘M’ is the order of the tree) number of child nodes. | While in binary tree, a node can have maximum two child nodes or sub-trees. |
| B-tree is called a sorted tree as its nodes are sorted in inorder traversal. | While binary tree is not a sorted tree. It can be sorted in inorder, preorder, or postorder traversal. |
| B-tree has a height of log(M*N) (Where ‘M’ is the order of tree and N is the number of nodes). | While binary tree has a height of log2(N) (Where N is the number of nodes). |
| B-Tree is performed when the data is loaded into the disk. | Unlike B-tree, binary tree is performed when the data is loaded in the RAM(faster memory). |
| B-tree is used in DBMS(code indexing, etc). | While binary tree is used in Huffman coding and Code optimization and many others. |
| To insert the data or key in B-tree is more complicated than a binary tree. | While in binary tree, data insertion is not more complicated than B-tree. |
| B-tree is a self-balancing tree. The height of the tree is automatically adjusted on each update. | A binary tree is not a self-balancing tree. |