Why Data-Intelligent Agents Win: A Side-by-Side Benchmark
Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Enterprise Technology, Communications, Media & Entertainment, Retail & Consumer Goods |
| Technologies | Databricks Agents |
| Skill Level | Intermediate |
Vibe coding is fun until it hits production. In this session, we benchmark two agents running the identical LLM on identical enterprise workloads — one armed with raw SQL and good intentions, one grounded in the Databricks Data Intelligence stack: a Unity Catalog semantic layer, governed metric views, UC functions with LLM-readable docstrings, and Vector Search over enriched business context. We run the benchmark live, on real questions including the ambiguous, multilingual ones your users actually ask. Then we step back and look at what the trajectories tell us about where production agent cost actually comes from — and why the platform underneath your agents matters more than the model running on top of it.
Session Speakers
Austin Choi
/Delivery Solutions Architect
Databricks
Dan Pechi
/AI Product Specialist
Databricks