Doris Summit 2026Day 2 · Building for the Agentic Era

From Conversation to Insight: Intelligent Data Analytics with Apache Doris and Amazon Quick

Sijie Han · Amazon Web Services

About this session

What if exploring data could be as simple as having a conversation? This session demonstrates how Amazon Quick AI agents can work with Apache Doris through the Model Context Protocol (MCP), turning natural-language questions into complex data queries and visual insights. Through a practical demo, the session will show how an AI agent understands a user's questions, interacts with Apache Doris via MCP, retrieves and analyzes data, and turns the results into clear visualizations. Instead of manually writing SQL or navigating multiple analytical tools, users can explore their data through a conversational interface while Doris handles the underlying analytical workloads. The session will walk through the end-to-end workflow, from asking questions in natural language to querying Doris and generating actionable insights, illustrating how MCP connects AI agents with high-performance analytical systems and makes data exploration more accessible, interactive, and efficient.