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Data Structures

Stack vs Queue

Two of the most fundamental linear data structures, differing only in the order they release elements — LIFO vs FIFO — which shapes what each is used for.

Stack
Time: O(1)Space: O(n)

A linear data structure that follows the Last-In, First-Out (LIFO) principle. Elements are added (pushed) and removed (popped) from the same end, called the 'top'.

When to use it

Use a Stack for LIFO (Last-In, First-Out) needs: undo/redo history, expression/parenthesis matching, function call stacks, and depth-first traversal.

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Queue
Time: O(1)Space: O(n)

A linear data structure that follows the First-In, First-Out (FIFO) principle. Elements are added (enqueued) at the rear and removed (dequeued) from the front, like a line of people.

When to use it

Use a Queue for FIFO (First-In, First-Out) needs: task/job scheduling, breadth-first traversal, print/request queues, and buffering data between producers and consumers.

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Key Differences

  • Stack: Last-In, First-Out (LIFO). Queue: First-In, First-Out (FIFO).
  • Stack adds/removes from the same end (the "top"); Queue adds at the rear and removes from the front.
  • Both support O(1) push/pop or enqueue/dequeue with an array-backed or linked implementation.
  • Stacks power recursion and DFS; Queues power BFS and scheduling.
Verdict

Pick the structure that matches your access pattern: reversal / most-recent-first → Stack, in-order / fairness → Queue.