A Red-Black Tree is a type of self-balancing binary search tree that maintains its balance through specific properties. Each node in the tree is colored either red or black, and the tree follows rules that ensure no two red nodes are adjacent, and that every path from a node to its descendant leaves contains the same number of black nodes. This structure helps keep the tree balanced, allowing for efficient operations like insertion, deletion, and searching. The balancing properties of Red-Black Trees ensure that the longest path from the root to a leaf is no more than twice as long as the shortest path. This guarantees that the tree remains approximately balanced, leading to a time complexity of O(log n) for most operations. As a result, Red-Black Trees are widely used in various applications, including databases and memory management systems, where quick data retrieval is essential.