algorithm - Suffix tree and Tries. What is the difference?

Question

I am reading about Tries commonly known as Prefix trees and Suffix Trees.
Although I have found code for a Trie I can not find an example for a Suffix Tree. Also I get the feeling that the code that builds a Trie is the same as the one for a Suffix Tree with the only difference that in the former case we store prefixes but in the latter suffixes.
Is this true? Can anyone help me clear this out in my head? An example code would be great help!

Answer 1

A suffix tree can be viewed as a data structure built on top of a trie where, instead of just adding the string itself into the trie, you would also add every possible suffix of that string. As an example, if you wanted to index the string banana in a suffix tree, you would build a trie with the following strings:

banana
anana
nana
ana
na
a

Once that's done you can search for any n-gram and see if it is present in your indexed string. In other words, the n-gram search is a prefix search of all possible suffixes of your string.

This is the simplest and slowest way to build a suffix tree. It turns out that there are many fancier variants on this data structure that improve on either or both space and build time. I'm not well versed enough in this domain to give an overview but you can start by looking into suffix arrays or this class advanced data structures (lecture 16 and 18).

This answer also does a wonderfull job explaining a variant of this data-structure.