Difference Between Linked List and Array
Both arrays and linked lists are linear data structures used to store collections of elements, but they differ significantly in how data is stored, accessed, and managed in memory.
📦 1. Memory Allocation
| Feature | Array | Linked List |
|---|---|---|
| Type of allocation | Contiguous block of memory | Non-contiguous memory locations |
| Memory management | Fixed size — must be declared in advance (in static arrays) | Dynamically allocated as nodes are created |
| Flexibility | Difficult to resize — requires creating a new array | Easily grows and shrinks as needed |
| Overhead | No pointer overhead | Each node stores extra memory for a pointer/reference |
Example:
- Array:
int arr[5] = {1, 2, 3, 4, 5}— occupies one continuous block. - Linked List: Each node may exist anywhere in memory, connected via pointers.
⚡ 2. Access Time
| Feature | Array | Linked List |
|---|---|---|
| Access method | Direct (using index) | Sequential (must traverse from head) |
| Access complexity | O(1) for any element | O(n) to reach the nth element |
| Example | arr[3] is instant | Need to follow links head → next → next → next |
Arrays are ideal when random access is required frequently.
🔄 3. Insertion and Deletion
| Feature | Array | Linked List |
|---|---|---|
| Insertion | O(n) — may require shifting elements | O(1) if pointer to previous node is known |
| Deletion | O(n) — requires shifting elements | O(1) if pointer to node is known |
| Overhead | Frequent resizing or shifting | Requires managing pointers carefully |
Example:
- Inserting in the middle of an array → shift half the elements.
- Inserting in a linked list → just update two pointers.
🧠 4. Cache Performance
| Feature | Array | Linked List |
|---|---|---|
| Locality of reference | Excellent — elements are next to each other | Poor — nodes may be scattered in memory |
| CPU caching | Cache-friendly | Cache-unfriendly |
Arrays perform better in CPU-intensive tasks due to better spatial locality.
🧩 5. Variants and Use Cases
| Use Case | Prefer Array | Prefer Linked List |
|---|---|---|
| Random access needed | ✅ Yes | ❌ No |
| Frequent insertion/deletion | ❌ No | ✅ Yes |
| Memory-constrained systems | ✅ Yes | ❌ No |
| Implementing stacks/queues | ✅ Simple arrays | ✅ More flexible with linked lists |
| Reversing or sorting | Easier | Requires traversal and pointer management |
🧱 6. Example Structures
Array Example (C++)
cpp
int arr[5] = {10, 20, 30, 40, 50};
cout << arr[2]; // O(1) accessLinked List Example (C++)
cpp
struct Node {
int data;
Node* next;
};
Node* head = new Node{10, nullptr};
head->next = new Node{20, nullptr};
head->next->next = new Node{30, nullptr};🏁 7. Summary Table
| Feature | Array | Linked List |
|---|---|---|
| Memory allocation | Contiguous | Non-contiguous |
| Access time | O(1) | O(n) |
| Insertion/Deletion | O(n) | O(1) (if pointer known) |
| Memory overhead | Low | Higher (due to pointers) |
| Resizing | Fixed (or costly for dynamic arrays) | Dynamic |
| Cache performance | High | Low |
| Ease of implementation | Simple | More complex |
| Use case | Frequent access | Frequent insert/delete |
In summary:
- Arrays are best for random access, memory efficiency, and predictable storage.
- Linked lists excel when frequent insertions/deletions are required and memory size is not fixed.