Workshop: What Is Databricks Genie, and Should You Be Using It?

Wednesday September 16th @ 11 AM ET

Genie used to be one tool. Now it's four.

Databricks has quietly turned Genie into a full product family: Genie One for asking questions, Genie Agents for teaching it your business rules, Genie Code for building and fixing things, and Genie Ontology, the context layer underneath all three. Each one does something different, and picking the wrong one slows your team down instead of speeding it up.

Join Olivier Soucy, principal at Okube.ai and author of the Guide to Databricks Cost Optimization, and Ian Whitestone, SELECT co-founder and CEO, as they break down what each piece of Genie actually does, how they connect to each other, and where the old naming (Databricks Assistant, LakehouseIQ, AI/BI Genie) still causes confusion. They'll also cover what changed with Genie's pricing in 2026, including which parts are still free and which ones are now metered.

What you'll walk away with:

• A clear map of Genie One, Genie Agents, Genie Code, and Genie Ontology, and when to reach for each one

• Straight answers on what changed with Genie Code's pricing in 2026

• A simple way to decide: should I just ask Genie, or do I need to build something first?

Who is this session for:

Data engineers, analytics engineers, and Databricks admins trying to make sense of Databricks' growing Genie lineup.

— The SELECT by DoiT Team