The difference between B-tree and a binary tree is that B-tree is a sorted tree where nodes are sorted inorder traversal whereas binary tree is an ordered tree having a pointer at each node.

Data structures are the most important concepts in computer programing, and in data structures, the two most important concepts are B-tree and Binary tree. Both are different from each other. B-tree is a sorted tree where nodes are sorted in order traversal whereas binary tree is an ordered tree having a pointer at each node. B-tree and binary tree are non-linear data structures. By name, both terms seem to be the same, but they are not the same as they are different. A binary tree code is stored in RAM whereas a B-tree code is stored in the disk.

B-tree is an M-way tree that is balanced, B-tree is known as balanced sort tree. There is inorder traversal in B-tree. The space complexity of B-tree is O(n). Insertion and deletion time complexity is O(log n). In B-tree, the height of the tree should be as minimum as possible. In B-tree, there should be no empty subtree. All the leaves of the tree should be at same level. Each node can have maximum M number of children and minimum M/2 number of children. Each node in B-tree should have less key than child key. In B-tree, keys in the subtree present in the left of the key are predecessors. When a node is full, and you try to insert a new node the tree is splited in two parts. You can merge nodes in B-tree until nodes are deleted.

A binary tree has two pointers that contain the address of its child nodes. There are types of binary trees such as a strictly binary tree, complete binary tree, extended binary tree, etc. In the strictly binary tree, there must be left subtree and right subtree, in a complete binary tree, there should be two nodes at each level, and in the threaded binary tree, there should be 0 to 2 number of nodes. If we talk about transversal techniques, three transversal techniques are in order transversal, preorder transversal, and post order transversal.

**Comparison Chart **

Basis | B-tree | Binary Tree |

Basis | B-tree is a sorted tree where nodes are sorted inorder traversal. | A binary tree is an ordered tree having a pointer at each node. |

Store | B-tree code is stored in the disk. | Binary tree code is stored on RAM |

Height | The height of B-tree will be log N | The height of binary tree will be log_{2} N |

Application | DBMS is the application of B-tree. | Huffman coding is an application od Binary Tree. |

**B-tree**

**B-tree**

**B-tree is an M-way tree that is balanced, B-tree is known as balanced sort tree. There is inorder traversal in B-tree. The space complexity of B-tree is O(n). Insertion and deletion time complexity is O(log n). In B-tree, the height of the tree should be as minimum as possible.**

**In B-tree, there should be no empty subtree. All the leaves of the tree should be at the same level. Each node can have a maximum M number of children and minimum M/2 number of children. Each node in B-tree should have less key than child key. In B-tree, keys in the subtree present in the left of the key are predecessors. When a node is full, and you try to insert a new node the tree is split in two parts. You can merge nodes in B-tree until nodes are deleted.**

**Binary Tree**

**Binary Tree****A binary tree has two pointers that contain the address of its child nodes. There are types of binary trees such as a strictly binary tree, complete binary tree, extended binary tree, etc.**

** In the strictly binary tree, there must be left subtree and right subtree, in a complete binary tree, there should be two nodes at each level, and in the threaded binary tree, there should be 0 to 2 number of nodes. If we talk about transversal techniques, there are three transversal techniques that are in order transversal, preorder transversal, and post order transversal.**

**Key Differences**

**Key Differences****B-tree is a sorted tree where nodes are sorted inorder traversal whereas Binary tree is an ordered tree having a pointer at each node.****B-tree code is stored in disk whereas Binary tree code is stored on RAM.****The height of B-tree will be logN whereas the height of binary tree will be log**_{2}N**DBMS is the application of B-tree whereas Huffman coding is an application od Binary Tree.**

**Conclusion**

**Conclusion****In this article above we see the clear difference between B-tree and Binary tree with their implementation.**

**Explanatory Video**

**Explanatory Video**