RisingWave and Dragonfly offer a seamless solution for real-time data processing and access, essential for modern applications demanding instant responsiveness, such as personalized user experiences and real-time machine learning model updates. RisingWave, a PostgreSQL-compatible streaming database, processes and serves data incrementally, offering real-time insights without the need for periodic refreshes, while Dragonfly, a high-performance in-memory data store, provides sub-millisecond data access with compatibility to Redis and Valkey. Together, they simplify architecture by eliminating stale data, cache invalidation, and complex infrastructure, allowing for streamlined real-time user profile caching and feature serving for machine learning applications. The setup involves using PostgreSQL as the source of truth, RisingWave to capture and transform data in real-time, and Dragonfly to maintain an up-to-date in-memory cache, all of which are effortlessly managed and executed through SQL-driven workflows.