Difference between B tree and B+ tree Last Updated : 25 Jan, 2023 Comments Improve Suggest changes Like Article Like Report B-Tree: B-Tree is known as a self-balancing tree as its nodes are sorted in the inorder traversal. 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 adjusted 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 a binary tree. Some conditions must be held 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. B+ Tree B+ tree eliminates the drawback B-tree used for indexing by storing data pointers only at the leaf nodes of the tree. Thus, the structure of leaf nodes of a B+ tree is quite different from the structure of internal nodes of the B tree. It may be noted here that, since data pointers are present only at the leaf nodes, the leaf nodes must necessarily store all the key values along with their corresponding data pointers to the disk file block, to access them. Moreover, the leaf nodes are linked to providing ordered access to the records. The leaf nodes, therefore form the first level of the index, with the internal nodes forming the other levels of a multilevel index. Some of the key values of the leaf nodes also appear in the internal nodes, to simply act as a medium to control the searching of a record. Let's see the difference between B-tree and B+ tree: Basis of ComparisonB treeB+ treePointersAll internal and leaf nodes have data pointersOnly leaf nodes have data pointersSearchSince all keys are not available at leaf, search often takes more time.All keys are at leaf nodes, hence search is faster and more accurate.Redundant KeysNo duplicate of keys is maintained in the tree.Duplicate of keys are maintained and all nodes are present at the leaf.InsertionInsertion takes more time and it is not predictable sometimes.Insertion is easier and the results are always the same.DeletionDeletion of the internal node is very complex and the tree has to undergo a lot of transformations.Deletion of any node is easy because all node are found at leaf.Leaf NodesLeaf nodes are not stored as structural linked list.Leaf nodes are stored as structural linked list.AccessSequential access to nodes is not possibleSequential access is possible just like linked listHeightFor a particular number nodes height is largerHeight is lesser than B tree for the same number of nodesApplicationB-Trees used in Databases, Search enginesB+ Trees used in Multilevel Indexing, Database indexingNumber of NodesNumber of nodes at any intermediary level ‘l’ is 2l.Each intermediary node can have n/2 to n children. Comment More infoAdvertise with us G gvenkatsai93 Follow Improve Article Tags : Tree Advanced Data Structure DBMS Difference Between DSA B and B+ Trees +2 More Practice Tags : Advanced Data StructureTree Similar Reads Introduction of B-Tree A B-Tree is a specialized m-way tree designed to optimize data access, especially on disk-based storage systems. In a B-Tree of order m, each node can have up to m children and m-1 keys, allowing it to efficiently manage large datasets.The value of m is decided based on disk block and key sizes.One 8 min read Insert Operation in B-Tree In this post, we'll discuss the insert() operation in a B-Tree. A new key is always inserted into a leaf node. To insert a key k, we start from the root and traverse down the tree until we reach the appropriate leaf node. Once there, the key is added to the leaf.Unlike Binary Search Trees (BSTs), no 15+ min read What is B-Tree? | B-Tree meaning A B-tree is a self-balancing tree where all the leaf nodes are at the same level which allows for efficient searching, insertion and deletion of records. Because of all the leaf nodes being on the same level, the access time of data is fixed regardless of the size of the data set. Characteristics of 3 min read Need for B-Trees in Databases and File Systems A B-Tree is a self-balancing tree data structure widely used in database and file systems for its efficiency in storing and retrieving massive quantities of data. B-Trees are great for handling enormous datasets that are too big to store fully in memory since they are optimized to operate with stora 5 min read B-Tree Insert without aggressive splitting B-Tree Insert without aggressive splittingThis algorithm for insertion takes an entry, finds the leaf node where it belongs, and inserts it there. We recursively insert the entry by calling the insert algorithm on the appropriate child node. This procedure results in going down to the leaf node wher 15+ min read Delete Operation in B-Tree A B Tree is a type of data structure commonly known as a Balanced Tree that stores multiple data items very easily. B Trees are one of the most useful data structures that provide ordered access to the data in the database. In this article, we will see the delete operation in the B-Tree. B-Trees are 15+ min read Introduction of B+ Tree B + Tree is a variation of the B-tree data structure. In a B + tree, data pointers are stored only at the leaf nodes of the tree. In this tree, structure of a leaf node differs from the structure of internal nodes. The leaf nodes have an entry for every value of the search field, along with a data p 8 min read Insertion in a B+ tree Prerequisite: Introduction of B+ treesIn this article, we will discuss that how to insert a node in B+ Tree. During insertion following properties of B+ Tree must be followed: Each node except root can have a maximum of M children and at least ceil(M/2) children.Each node can contain a maximum of M 15+ min read What is B+ Tree | B+ Tree meaning The B+ tree is similar to the B-tree data structure in that it is a tree structure with a fixed number of keys per node, and it is balanced so that all leaf nodes are at the same level. However, in a B+ tree, all keys are stored in the leaf nodes, while the internal nodes only contain pointers to ot 5 min read Difference between B tree and B+ tree B-Tree: B-Tree is known as a self-balancing tree as its nodes are sorted in the inorder traversal. 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 adjusted automatically at each update. 3 min read Like