What are the differences between binary search trees and hash tables?

What are the differences between binary search trees and hash tables?

Binary search trees (BSTs) are tree data structures that maintain sorted data and allow for efficient searching, insertion, and deletion. Hash tables, on the other hand, use a hash function to map keys to values, providing average-case constant time complexity for these operations.

Which one is better for searching large datasets?

It depends on the use case. BSTs are better for ordered data and range queries, while hash tables excel in scenarios where quick lookups are needed without order.

What are the space complexities of both?

A BST typically has a space complexity of O(n) for n nodes, while a hash table also has O(n) but can require additional space for handling collisions.

Can you give me an example of when to use each?

Use a BST when you need to maintain sorted order and perform range queries, like in a database index. Use a hash table for fast lookups, like caching user sessions.