B Tree Vs. B+ Tree: Explore The Difference Between B Tree and B+ Tree

B tree is a self-balancing tree that helps in maintaining and sorting data, and also grants searches, insertions, deletions, and sequential access. Whereas, B+ tree is an extension of the B tree that helps in reducing the drawback linked with the B tree. Let’s find out some major differences between the B tree and the B+ tree.

What is a B Tree?

B tree is a popular terminology that belongs to the computer science family. It is a balancing tree that helps in maintaining and sorting data, and also grants searches, insertions, deletions, and sequential access. It is also known as an m-way tree where m is used to determine the order of the tree. Depending upon the value of m, a B-tree node can have more than one key and more than two children based on the value of m.

Also, in the case of B-tree, it allows both key values and data pointers in internal and leaf nodes. This is counted as one of the major disadvantages because the capability to embed the nodes at a particular level is reduced thus extending the node levels in it, which is not good.

What is a B+ Tree?

B+ tree is nothing but an advancement of B tree that allows efficient and smooth insertion, deletion, and sequential access. It is also known as an n-array tree which holds a large number of children per node.

B+ tree helps in reducing the drawback faced by B-tree by saving the data pointers at the leaf node level and simply stocking the key values in the internal nodes.

Difference between B Tree and B+ Tree

S.No

B tree

B+ tree

1.

B tree is a popular terminology that belongs to the computer science family. It is a balancing tree that helps in maintaining and sorting data, and also grants searches, insertions, deletions, and sequential access.

B+ tree is nothing but an advancement of B tree that allows efficient and smooth insertion, deletion, and sequential access.

2.

In the case of B tree, the leaf nodes include data pointers.

In the case of B+ tree, only the leaf nodes include data pointers.

3.

Here, the insertion may take longer.

Here, the insertion is easier and faster than the B tree.

4.

In B tree, there is no duplicate of keys sustained in the tree.

In B+ tree, duplicates of keys are maintained.

5.

The search process may take a longer time because all the keys are not obtainable at the leaf.

Here the search is faster than the B tree as the keys are present at leaf nodes.

6.

Deletion process is complicated.

Deletion process is easier.

7.

There are no redundant search keys available .

The redundant search keys are available.

8.

In the B tree, all the leaf nodes are not saved as a structural linked list.

On the B+ tree, all the leaf nodes are saved as a structural linked list.

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