Synopsis: G2 Krishnamoorthy, VP, Database Services at AWS, discusses how managing multiple databases in modern applications introduces challenges that demand flexibility, performance, and closer collaboration between developers and DBAs. As generative AI reshapes user interactions, evolving data team roles and new protocols are streamlining database operations and integration.

Krishnamoorthy also delves into the role of distributed SQL and serverless architecture in enabling seamless scalability and cross-region consistency—critical features as more organizations move to AI-driven and agent-based workflows. He emphasizes a shift toward "full-stack" builders in the data and AI space, empowered by tools like SageMaker that lower the barrier for application developers to engage in ML model development, data preparation, and deployment.

Finally, the conversation touches on evolving team structures, balancing experimentation with operational control, and how innovations in database technology can ease historic tensions between developers and DBAs. With AWS continuously integrating emerging protocols like the Model Context Protocol into its database services, the goal is clear: simplify, scale, and support the next generation of intelligent applications.