In a b-tree you can store both keys and data in the internal and leaf nodes, but in a b+ tree you have to store the data in the
The principal advantage of B+ trees over B trees is they allow you to pack in more pointers to other nodes by removing pointers to data, thus increasing the fanout and potentially decreasing the depth of the tree.
The disadvantage is that there are no early outs when you might have found a match in an internal node. But since both data structures have huge fanouts, the vast majority of your matches will be on leaf nodes anyway, making on average the B+ tree more efficient.
Example from Database system concepts 5th
B+-tree
corresponding B-tree
The image below helps show the differences between B+ trees and B trees.
Advantages of B+ trees:
Advantage of B trees:
**
The major drawback of B-Tree is the difficulty of Traversing the keys sequentially. The B+ Tree retains the rapid random access property of the B-Tree while also allowing rapid sequential access
** ref: Data Structures Using C// Author: Aaro M Tenenbaum
http://books.google.co.in/books?id=X0Cd1Pr2W0gC&pg=PA456&lpg=PA456&dq=drawback+of+B-Tree+is+the+difficulty+of+Traversing+the+keys+sequentially&source=bl&ots=pGcPQSEJMS&sig=F9MY7zEXYAMVKl_Sg4W-0LTRor8&hl=en&sa=X&ei=nD5AUbeeH4zwrQe12oCYAQ&ved=0CDsQ6AEwAg#v=onepage&q=drawback%20of%20B-Tree%20is%20the%20difficulty%20of%20Traversing%20the%20keys%20sequentially&f=false
Define "much faster". Asymptotically they're about the same. The differences lie in how they make use of secondary storage. The Wikipedia articles on B-trees and B+trees look pretty trustworthy.