# differences

## Primitive Data Structure vs Non Primitive Data Structure

Primitive data structure is a fundamental type of data structure that stores the data of only one type whereas the non-primitive data structure is a type of data structure which is a user-defined that stores the data of different types in a single entity.

Posted September 12, 2022 by Rohith and Anusha ‐ 1 min read

## B Tree vs 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). 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.

Posted September 12, 2022 by Rohith and Anusha ‐ 2 min read

## Selection Sort vs Bubble Sort

The selection sort algorithm generally is the first sorting algorithm that is taught to us. Here in every iteration of the inner loop, the smallest element is replaced with the starting element in each loop. The bubble sort algorithm might look a little bit confusing when we first study it. But here is the easy explanation of it. Here swapping is carried on in two ways. In every iteration of the outer loop, the largest element is found and swapped with the last element in the loop.

Posted September 12, 2022 by Rohith and Anusha ‐ 1 min read

## Quick Sort vs Merge Sort

Quick sort is a comparison based sorting algorithm that follows the divide and conquer technique to sort the arrays. In quick sort, we usually use a pivot (key) element to compare and interchange the position of the element based on some condition. Merge sort is a most important sorting techniques that work on the divide and conquer strategies. It is the most popular sorting techniques used to sort data that is externally available in a file.

Posted September 12, 2022 by Rohith and Anusha ‐ 2 min read

## BFS vs DFS

BFS i.e. Breadth-First Search, is a vertex-based technique for finding the shortest path in the graph. It uses a Queue data structure that follows first in first out. DFS i.e. Depth First Search, is an edge-based technique. It uses the Stack data structure and performs two stages, first visited vertices are pushed into the stack, and second if there are no vertices then visited vertices are popped.

Posted September 12, 2022 by Rohith and Anusha ‐ 3 min read