map vs. hash_map in C++

hash_map was a common extension provided by many library implementations. That is exactly why it was renamed to unordered_map when it was added to the C++ standard as part of TR1. map is generally implemented with a balanced binary tree like a red-black tree (implementations vary of course). hash_map and unordered_map are generally implemented with hash tables. Thus the order is not maintained. unordered_map insert/delete/query will be O(1) (constant time) where map will be O(log n) where n is the number of items in the data structure. So unordered_map is faster, and if you don't care about the order of the items should be preferred over map. Sometimes you want to maintain order (ordered by the key) and for that map would be the choice.

Some of the key differences are in the complexity requirements.

• A map requires O(log(N)) time for inserts and finds operations, as it's implemented as a Red-Black Tree data structure.

• An unordered_map requires an 'average' time of O(1) for inserts and finds, but is allowed to have a worst-case time of O(N). This is because it's implemented using Hash Table data structure.

So, usually, unordered_map will be faster, but depending on the keys and the hash function you store, can become much worse.

The C++ spec doesn't say exactly what algorithm you must use for the STL containers. It does, however, put certain constraints on their performance, which rules out the use of hash tables for map and other associative containers. (They're most commonly implemented with red/black trees.) These constraints require better worst-case performance for these containers than hash tables can deliver.

Many people really do want hash tables, however, so hash-based STL associative containers have been a common extension for years. Consequently, they added unordered_map and such to later versions of the C++ standard.

They are implemented in very different ways.

hash_map (unordered_map in TR1 and Boost; use those instead) use a hash table where the key is hashed to a slot in the table and the value is stored in a list tied to that key.

map is implemented as a balanced binary search tree (usually a red/black tree).

An unordered_map should give slightly better performance for accessing known elements of the collection, but a map will have additional useful characteristics (e.g. it is stored in sorted order, which allows traversal from start to finish). unordered_map will be faster on insert and delete than a map.