Building Agentic Apps on the Databricks Platform: Architecture, Considerations, and Key Patterns

Agentic applications are fundamentally different from traditional software: they don't just retrieve data, they reason over it, take actions, and update state in response to the world around them. That makes the database layer a critical design decision, not an afterthought. When agents need to read fresh operational data, write back results, and coordinate across concurrent tasks, the infrastructure underneath determines what's actually possible.

This session covers what makes agentic apps so powerful, what can go wrong without the right foundation, and how the Databricks Platform addresses the core requirements. You'll learn how Lakebase provides the low-latency, transactionally consistent operational store that agents need to act on live data, how Unity Catalog enforces governance across agent actions and the data they touch, and how Databricks Apps simplifies deployment and scaling. We'll also walk through a reference architecture that shows how these pieces fit together, from agent orchestration and tool use to state management, observability, and safe rollback using database branching.