B-Tree is known as self-balancing tree as its nodes are sorted in inorder traversal. Unlike binary tree, in B-tree, a node can have more than two children. B-tree has a height of logM N (Where ‘M’ is the order of tree and N is the number of nodes). And the height is adjusts automatically at each update. In the B-tree data is sorted in a specific order, with the lowest value on the left and the highest value on the right. To insert the data or key in B-tree is more complicated than binary tree.
There are some conditions that must be hold by the B-Tree:
- All the leaf nodes of the B-tree must be at the same level.
- Above the leaf nodes of the B-tree, there should be no empty sub-trees.
- B- tree’s height should lie as low as possible.
Binary Tree :
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). The topmost node of a binary tree is called root node and there are mainly two subtrees one is left-subtree and another is right-sub-tree. Unlike the general tree, the binary tree can be empty. Like B-tree, binary tree can also be sorted in inorder traversal. But it can also be sorted in preorder as well as postorder. In binary tree, data insertion is not complicated than B-tree.
Let’s see the difference between B-tree and Binary tree:
|1.||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.|
|2.||B-tree is called as 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.|
|3.||B-tree has a height of logM 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).|
|4.||B-Tree is performed when the data is loaded in the disk.||Unlike B-tree, binary tree is performed when the data is loaded in the RAM(faster memory).|
|5.||B-tree is used in DBMS(code indexing, etc).||While binary tree is used in Huffman coding and Code optimization and many others.|
|6.||To insert the data or key in B-tree is more complicated than binary tree.||While in binary tree, data insertion is not complicated than B-tree.|
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- Difference between Binary Tree and Binary Search Tree
- Difference between General tree and Binary tree
- Difference between sum of even and odd valued nodes in a Binary Tree
- Maximum difference between node and its ancestor in Binary Tree
- Maximum absolute difference between any two level sum in a Binary Tree
- Complexity of different operations in Binary tree, Binary Search Tree and AVL tree
- Minimum swap required to convert binary tree to binary search tree
- Check if a binary tree is subtree of another binary tree using preorder traversal : Iterative
- Check whether a binary tree is a full binary tree or not | Iterative Approach
- Print updated levels of each node of a Complete Binary Tree based on difference in weights of subtrees
- Convert a Binary Tree to Threaded binary tree | Set 1 (Using Queue)
- Convert a Binary Tree to Threaded binary tree | Set 2 (Efficient)
- Check whether a given binary tree is skewed binary tree or not?
- Check whether a binary tree is a full binary tree or not
- Check if a binary tree is subtree of another binary tree | Set 1
- Check if a binary tree is subtree of another binary tree | Set 2
- Binary Tree to Binary Search Tree Conversion using STL set
- Binary Tree to Binary Search Tree Conversion
- Difference between sums of odd position and even position nodes for each level of a Binary Tree
- Difference between sums of odd level and even level nodes of a Binary Tree
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