Difference Between


(1) Primitive and Non Primitive Data Structure

Primitive Data Structure Non Primitive Data Structure
The Data Structure which is directly operated by machine level instruction is known as Primitive Data Structure.
The Data Structure which is not directly operated by machine level instruction is known as Non Primitive Data Structure.
Example: Integer, Real, Character Example: Array, Stack, Queue, Linked List, Tree

     

(2) Linier and Non Linier Data Structure

Linier Data Structure Non Linier Data Structure
The Data Structure in which elements are arranged such that we can process them in linier fashion (sequentially) is called linier data structure.
The Data Structure in which elements are arranged such that we can not process them in linier fashion (sequentially) is called Non-Linier data structure.
Example: Array, Stack, Queue, Linked List
Example: Tree, Graph

(3) Stack and Queue

Stack Queue
A stack is a linier list in which insertion and deletion operations are performed at only one end of the list.
Queue is a linier Data Structure in which insertion operation is performed at one end called Rear and deletion operation is performed at another end called front.
Stack is also known as Last In First Out (LIFO). 
Queue is also known as First in First out (FIFO). 
It uses only one pointer called TOP.
It uses two pointers called FRONT and REAR.
Plate counter at Marriage Reception is an example of stack.
Students standing in a line at fee counter is an example of queue.
No wastage of memory.
Wastage of Memory.

(4) Queue and Circular Queue

Queue Circular Queue
Queue is a linier Data Structure in which insertion operation is performed at one end called Rear and deletion operation is performed at another end called front.
Circular Queue is a linier Data Structure in which elements are arranged such that first element in the queue follows the last element.
The limitation of simple queue is that even if there is a free memory space available in the simple queue we can not use that free memory space to insert element.
In Circular Queue we can utilize all available free memory space.
Wastage of Memory space.
No Wastage of Memory space.

(5) Singly Linked List and Doubly Linked List

Singly Linked List Doubly Linked List
In Singly Linked List each node consist of two parts:
(1) Info (2)Link (Address of Next Node)
In Doubly Linked List each node consist of three parts:
(1) Info (2)LPTR (Left pointer contains address of previous node) (3) RPTR (Right Pointer contains address of next node)
It occupies less memory as compared to doubly linked list.
It occupies more memory as compared to singly linked list.
Traversal is possible in only one direction (forward).
Traversal is possible in both directions (forward as well as backward).

(6) Internal Sort and External Sort

Internal Sort External Sort
The sorting method that does not required external memory for sorting the elements is known as internal sort.
The sorting method that required external memory for sorting the elements is known as external sort.
It is useful when we have to sort fewer amounts of elements. 
It is useful when we have to sort large amount of elements.
Example: Bubble Sort, Selection Sort, Insertion Sort, Quick Sort
Example: Merge Sort, Radix Sort

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