What are the advantages and disadvantages of red-black trees compared to other data structures such as AVL trees?

Red-black trees and AVL trees are balanced binary search trees, but they have different approaches to balancing and, consequently, different advantages and disadvantages.

Red-black trees:

• Balance the tree less strictly, which provides faster insertion and deletion operations on average.
• The height of the tree can be up to 2*log(n), which is slightly worse than AVL.
• Often used in standard libraries (e.g., std::map in C++).
• Well suited for systems where modification speed is important.

AVL trees:

• Strictly balanced, with the minimal height (up to log(n)).
• Provide faster search due to better balance.
• Insertion and deletion can be slower due to the need for more frequent rotations.
• Suitable for applications where searches are more frequent than modifications.