The B Tree is a type of m-way tree that is commonly used for disc access. A B-Tree with order m can only have m-1 keys and m children. One of the primary reasons for using a B tree is its ability to store a large number of keys in a single node as well as large key values while keeping the tree's height relatively small.

A B-tree of order 4 is shown below in the image:

Following are the key properties of a B-tree data structure:

• All of the leaves are at the same height.


• The term minimum degree 't' describes a B-Tree. The value of t is determined by the size of the disc block.


• Except for root, every node must have at least t-1 keys. The root must contain at least one key.


• All nodes (including root) can have no more than 2*t - 1 keys.


• The number of children of a node is equal to its key count plus one.


• A node's keys are sorted in ascending order. The child of two keys k1 and k2 contains all keys between k1 and k2.


• In contrast to Binary Search Tree, B-Tree grows and shrinks from the root.

Following are real-time applications of a B-Tree data structure:

• It is used to access data stored on discs in large databases.


• Using a B tree, you can search for data in a data set in significantly less time.


• The indexing feature allows for multilevel indexing.


• The B-tree approach is also used by the majority of servers.