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Difference Between Stack and Array

By Mukesh Kumar

Updated on Feb 06, 2025 | 8 min read

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Data structures help organize and manage data efficiently in programming. Two commonly used structures are stacks and arrays, each serving a unique purpose. Understanding the difference between stack and array is essential for selecting the right approach when solving problems.

A stack is a linear data structure that follows the Last In, First Out (LIFO) principle. This means the last element added is the first to be removed. Stacks are useful in function call management, undo-redo operations, and expression evaluation. They allow insertion and deletion only from one end, called the top of the stack.

An array, on the other hand, is a fixed-size collection of elements stored in contiguous memory locations. Arrays allow direct access to any element using an index, making them efficient for searching, sorting, and performing mathematical computations.

The key difference is that stacks follow LIFO, restricting access to elements, whereas arrays provide direct access to any element using an index, making them more flexible for data storage and retrieval.

What is Stack?

A stack is a linear data structure that follows the Last In, First Out (LIFO) principle. This means that the last element added to the stack is the first one to be removed. It operates similarly to a stack of plates, where you place a new plate on top and remove the top plate first. 

The two primary operations performed on a stack are push (inserting an element) and pop (removing an element).

Stacks are widely used in programming for handling function calls, backtracking, and managing operations like undo-redo in applications.

Features of Stack

  • Follows the LIFO (Last In, First Out) principle.
  • Allows operations only at one end (top).
  • Supports two primary operations: push (add) and pop (remove).
  • Can be implemented using arrays or linked lists.
  • Used for managing function calls and recursion.
  • Limited access is available as elements can only be removed from the top.

Applications of Stack

  • Function call management – Handles recursive function calls in programming.
  • Undo and redo operations – Used in text editors and software applications.
  • Expression evaluation – Helps in evaluating postfix and prefix expressions.
  • Backtracking – Used in algorithms like maze-solving and puzzle-solving.
  • Memory management – Used in managing local variables in runtime memory.

Advantages and Disadvantages of Stack

Parameter

Advantages

Disadvantages

Access Follows LIFO for ordered processing Only the top element is accessible
Operations Simple push and pop operations No random access like arrays
Memory Usage Efficient memory usage for function calls Can cause a stack overflow in recursion
Implementation Easy to implement using arrays or linked lists Limited size if implemented with arrays
Speed Fast operations at the top Slower compared to arrays for direct access

What is Array?

An array is a linear data structure that stores multiple elements of the same data type in contiguous memory locations. Each element in an array is assigned a unique index, allowing direct access to any element in constant time. 

This makes arrays highly efficient for tasks requiring quick data retrieval and manipulation. Unlike stacks, which follow the Last In, First Out (LIFO) rule, arrays provide random access to elements, which is a key difference between stack and array.

Arrays are widely used in programming for storing and processing large datasets. They are commonly applied in sorting algorithms, database management, and mathematical computations. Since arrays have a fixed size (in most cases), memory allocation must be planned in advance. However, dynamic arrays allow resizing when necessary.

Features of Array

  • Stores elements in contiguous memory locations.
  • Provides direct access to elements using an index.
  • Can be fixed-size or dynamic, depending on implementation.
  • Supports various operations like insertion, deletion, sorting, and searching.
  • Can store homogeneous data (same data type).
  • Efficient for handling large amounts of data in structured formats.

Applications of Array

  • Data storage: Used in databases and file management systems.
  • Sorting and searching: Applied in algorithms like QuickSort and Binary Search.
  • Mathematical computations: Used in matrices, graphs, and statistical analysis.
  • Image processing: Stores pixel values for image manipulation.
  • Buffer management: Helps in managing data streams in networking and operating systems.

Advantages and Disadvantages of Array 

Parameter

Advantages

Disadvantages

Access Direct access to elements using an index Fixed-size may lead to memory wastage
Operations Supports multiple operations like sorting and searching Insertion and deletion are slow compared to linked lists
Memory Usage Efficient for storing structured data Extra memory is needed for resizing dynamic arrays
Implementation Simple and easy to use Complex resizing operations in dynamic arrays
Speed Faster data retrieval Costly shifting operations when inserting or deleting elements

Difference Between Stack and Array

Stacks and arrays are both linear data structures, but they serve different purposes in programming. A stack follows the Last In, First Out (LIFO) rule, meaning the last element added is the first to be removed. 

In contrast, an array allows direct access to any element using an index, making it more flexible for data retrieval. Understanding the difference between stack and array helps in choosing the right structure based on the problem requirements.

Comparison Table: Stack vs. Array

Parameter

Stack

Array

Definition A linear data structure that follows LIFO (Last In, First Out) A collection of elements stored in contiguous memory locations
Access Only the top element can be accessed directly Any element can be accessed using an index
Operations Supports push (insert) and pop (remove) operations at one end Supports insertion, deletion, sorting, and searching
Order of Processing Works in LIFO order (last element added is removed first) No strict order; elements can be accessed randomly
Flexibility Fixed access to only one end Flexible access to all elements
Memory Usage Efficient for handling function calls and recursion Requires pre-allocated memory, leading to potential wastage
Implementation Can be implemented using arrays or linked lists Implemented using contiguous memory allocation
Use Cases Used in recursion, undo-redo, and expression evaluation Used in databases, mathematical computations, and large data storage
Insertion & Deletion Faster, as operations are limited to one end Slower, as shifting of elements is required in some cases
Resizing Can grow dynamically in a linked list implementation Static arrays have fixed size; dynamic arrays allow resizing but with extra overhead

What are the similarities between Stack and Array?

Although stacks and arrays have key differences, they also share some similarities as both are linear data structures used for storing and managing data efficiently. They are fundamental in computer science and play a crucial role in various applications. 

Understanding their common features helps in deciding when to use each structure based on programming needs.

Common Features of Stack and Array:

  • Linear Data Structures – Both store elements in a sequential manner.
  • Memory Allocation – This can be implemented using contiguous memory allocation.
  • Fixed or Dynamic Size – Both can have fixed-size (static) or dynamic allocation, depending on the implementation.
  • Efficient Data Storage – Both are useful for storing and managing large datasets in programming.
  • Can Be Implemented Using Arrays – A stack can be implemented using an array, making them closely related.
  • Support Basic Operations – Both allow insertion, deletion, and traversal of elements, though with different rules.

How upGrad Will Help You in Stack and Array

Understanding the difference between stack and array is essential for building a strong foundation in programming and data structures. Whether you're a beginner or an experienced professional looking to enhance your skills, we offer comprehensive learning resources to help you master these concepts. 

Our Data Analytics course is designed to provide you with in-depth knowledge of data structures, algorithms, and their real-world applications.

How upGrad Supports Your Learning:

  • Expert-Led Courses – Learn from top industry experts and university faculty.
  • Hands-on Projects – Work on real-world projects and case studies to strengthen your practical knowledge.
  • 24/7 Student Support – Get assistance from dedicated mentors and academic advisors anytime.
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  • Flexible Learning – Study at your own pace with self-paced and live learning options.
  • Industry-Relevant Curriculum – Stay ahead with updated course content aligned with industry standards.

Start your learning journey today with our Data Analytics course and enhance your understanding of data structures like stacks and arrays!

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Frequently Asked Questions

1. Why is it important to understand the difference between stack and array?

2. Can a stack be implemented using an array?

3. Which data structure is better: stack or array?

4. What are some real-life examples of stack usage?

5. How do arrays store data in memory?

6. Can arrays be resized dynamically?

7. What are the advantages of using a stack over an array?

8. When should you use an array instead of a stack?

9. What happens if a stack exceeds its memory limit?

10. Why are stacks preferred in recursion?

11. What are some common operations performed on arrays?

Mukesh Kumar

54 articles published

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