Content discovery is the bidirectional process by which users and applications interact to fulfill users' known and unknown content consumption needs. As content generation increases exponentially, delivering great content discovery experiences will be crucial for keeping up with evolving customer expectations. Content discovery can happen through push (recommendation engines) or pull (search) forces, where the latter is typically a search bar query. Building effective search and recommendation engines is challenging due to integration challenges, data management complexities, and the need for real-time analytics. An advanced data platform like MongoDB Atlas makes content discovery possible by integrating natively with machine learning and artificial intelligence engines, providing real-time recommendations and solving the search bar challenge through its unified data platform and automated search infrastructure management.