
Apache IcebergLakeOpsQueryFluxData Platforms
Optimizing Apache Iceberg for Agentic AI: From Slow Tables to Sub-Second Agent Queries
AI agents issue SQL iteratively, repeat query templates at high frequency, and need sub-second responses from tables designed for batch workloads. This post covers what breaks when agents hit a production Iceberg lake — and the five infrastructure layers that fix it: MCP connectivity, guardrails, multi-engine routing, self-optimizing storage, and closed-loop feedback.

