Arrays and linked lists are both fundamental data structures used to store collections of elements, but they differ significantly in their implementation, performance characteristics, and use cases. Here’s a comparison (Array vs Linked list):

Memory Use:
Arrays keep all elements together in one block and need a fixed size. Linked lists can store elements in different places and can grow or shrink as needed.

Access Speed:
Arrays are fast to access any item directly using its index (O(1)). Linked lists are slower (O(n)) because you have to move from the start to reach the item.

Add/Delete Items:
Arrays are fast to add or remove at the end but slow in the middle or beginning. Linked lists are fast to add or remove at the beginning or if you know where, but slow if you need to find the place first.

Memory Overhead:
Arrays only store the data. Linked lists use extra memory because each item also stores a pointer to the next (and maybe previous) item.

Speed with CPU Cache:
Arrays work better with the CPU cache, so they are faster when reading in order. Linked lists are slower because their items are spread out in memory.

Flexibility:
Arrays have a fixed size (unless resized, which takes time). Linked lists can easily grow or shrink.

Complexity:
Arrays are easy to use and code. Linked lists are harder because you need to manage pointers, which can lead to bugs.

Diagram of storing data in array:

Diagram of storing data in Linked-list: