For decades, traditional relational databases (RDBMS) have been the foundation of data storage, born in an era when minimising storage costs was paramount.

But today’s challenges are different. While storage costs have plummeted, the complexity of working with data remains a critical barrier. Developers need to move fast, innovate, and support a wide range of use cases — relational, time series, graph, document, search, and even vector search — without the inefficiencies of data duplication and silos.

In this session, we’ll explore how MongoDB Atlas can help you escape the limitations of traditional SQL databases, reduce complexity, and unlock the full potential of your data to build cutting-edge applications.