Understand Genie, How to Use it, & What it Costs

Databricks Genie Explained:What It Is, How to Use It, and What It Costs

Genie sounds simple. The naming and the pricing aren't.


This guide breaks down what Databricks Genie actually is today — Genie One, Genie Agents, Genie Code, and Genie Ontology — and how they fit together, so you're not guessing which one to use or reading documentation written about an older, smaller version of the product.


Inside, you'll learn how grounding changes the quality of Genie's answers, tested against a real Unity Catalog dataset, how Genie's two-part billing model works (LLM usage and compute, billed separately), and a real cost breakdown from a live Databricks workspace showing exactly where the money went, and where it was hard to trace.


Download the guide to start using Genie with a clear picture of what it actually costs.


What the guide covers

Know which Genie to use

Understand the difference between Genie One, Genie Agents, Genie Code, and Genie Ontology, and how to pick the right one for a question, a recurring workload, or a build task.


See what grounding actually changes

Follow a real test where the same question gets a useless answer without business context, and a precise one once that context is added through a Genie Agent.


Track the cost most teams miss

Learn why Genie's LLM usage is easy to attribute but the compute it triggers often isn't, and what to set up before the bill arrives, not after.

Written by

Olivier Soucy, Founder & principal, okube.ai

Olivier is the Founder and Principal Data Engineer at okube.ai, an official Databricks Partner. He's spent his career building data systems at scale, most recently as Head of Data at Newton and across 13 years at CAE.