---
title: "Databricks + Atlan: Building the AI-Native Enterprise, Together"
url: "https://atlan.com/live-demo-series-atlan-databricks-2026/"
description: "See how Databricks Genie, grounded in Atlan's context layer, powers AI agents that reason from certified data, enforce governance, and explain every output."
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

**Atlan in Action live demo with Databricks, on demand.** See how Databricks Genie, grounded in Atlan's context layer, powers AI agents that reason from certified data, enforce governance, and explain every output. For platform and data teams building AI agents on Databricks.

**Watch:** the full session is available on demand (45 min); fill the form on the page to watch the recording: [https://atlan.com/live-demo-series-atlan-databricks-2026/](https://atlan.com/live-demo-series-atlan-databricks-2026/). More demos: [https://atlan.com/live-demo-series/](https://atlan.com/live-demo-series/).

## About this session

At enterprise scale, AI agents multiply faster than shared context does, leaving every agent reasoning from a different version of the truth. The result: conflicting answers, eroding trust, and AI that gets harder to govern as it scales.

Databricks and Atlan solve this together. Databricks Genie provides the intelligence layer: querying the data estate, reasoning over it, acting on what it finds. Atlan provides the context Genie needs: semantics, quality signals, and governance policies that make those answers trustworthy and explainable.

Join the Databricks and Atlan teams on May 20 to see how to build that context layer from the ground up.

## Speakers

- Anthony Lapelius, Partner & Alliances, Atlan (host)
- Akshay Kumar Pallerla, Solutions Architect, Databricks
- Gene Arnold, Solutions Engineering, Atlan

## What you'll see

1. **Genie without context vs. with context.** The same business question answered twice: first by a Genie Space reasoning over raw tables and columns, then by the same Genie logic inside an Agent Brick with Atlan's MCP server and context repositories wired in. Same intelligence; see what context changes about the answer.
2. **Engineering Genie-ready context.** Atlan's Context Engineering Studio turns raw Databricks assets into metric views, Genie Space configurations, and semantic relationships, all generated from the enterprise data graph instead of hand-written prompt hacks.
3. **Governance and quality in Genie's decision loop.** Atlan's policies and Data Quality Studio checks flow into Genie as constraints and signals, so agents can prefer trusted data products, respect access rules, and explain where every number came from.
4. **From POC to production-grade agents.** A concrete rollout pattern for Databricks + Atlan, from wiring connectors to deploying governed Agent Bricks, so platform teams can move from POC to production-grade agents faster, without trading off safety for speed.

## Customers

Trusted by 500+ AI-forward enterprises. Customers shown: Mastercard, HubSpot, Zoom, Dropbox, Autodesk, Nasdaq, Fox, GitLab, Unilever, Workday, Elastic, NHS, Affirm, General Motors, easyJet, Medtronic, New York Life, Grainger.

Customer videos ("The only proven way to create context"): DigiKey: Context Readiness (Sridher Arumugham) / CME Group: Context at Speed (Kiran Panja) / Mastercard: Context by Design (Andrew Reiskind) / Virgin Media O2: Context for All (Mauro Flores).