XDL is a complete solution for deep learning optimized for high-dimension sparse data scenarios commonly found in advertising, recommendation, and search systems. It provides a training engine with storage and communication optimizations, a prediction serving engine called Blaze, and algorithmic solutions including TDM (Deep Tree Matching) for recommendation matching and recall. The framework supports streaming training with feature admission and eviction capabilities.