Polyglot is not just about programming languages, it is the reality of modern data. The risk is turning “best-of-breed” into a collection of friction points: more connections, more policies, more integrations, and more failure modes. In this session we look at how a polyglot relational database can cover many common needs (documents, history, auditing, relationships, automation, and files) while reducing architectural surface area and operational complexity. Through practical examples and clear trade-offs, we will discuss when a single database approach simplifies delivery and maintenance, and when separate services are still the better choice.