Genie One

What it does

Genie One takes natural-language questions from business users and answers them using the company data it can reach: Databricks lakehouse data, dashboards, notebooks and connected sources such as Slack, Jira, Google Drive and Salesforce. It returns context-aware answers, dashboards and insights, and can carry out actions such as scheduled tasks, drafted documents and Jira or Slack updates.

It works as a single entry point for analytics, so users can get answers without writing SQL or code. Genie Ontology, a knowledge graph of business terms and KPIs, grounds each answer in company language. Unity Catalog row- and column-level security and external source permissions are enforced for every answer. Users can also save reusable skills, and AI-powered discovery recommends popular insights to colleagues. It is reachable from mobile, Slack, Teams and MCP apps.

Genie One suits sales, finance, marketing, operations and supply chain teams that make decisions from data. Access requires a Databricks account, with an admin assigning the consumer entitlement role. It runs on AWS, Azure or Google Cloud. It is built for business users; developers doing hands-on technical work are directed to Genie Code.

What it can do

• Answer natural-language questions over governed Databricks lakehouse data and dashboards
• Surface context-aware insights grounded in business terms via Genie Ontology
• Automate scheduled tasks, draft documents and save reusable skills
• Respect Unity Catalog row- and column-level security and external source permissions
• Use AI-powered discovery to recommend popular insights to colleagues

Works with

• Slack
• Microsoft Teams
• Jira
• Google Drive
• Salesforce
• Unity Catalog
• Databricks Lakehouse
• MCP apps

Example workflows

Ask a sales question in Slack

Illustrative example. Input: a natural-language question such as quota attainment by region. Steps: the user asks Genie One in Slack; Genie grounds the query in governed lakehouse data using Genie Ontology terms and checks permissions. Output: a context-aware answer returned in the Slack thread.

Schedule a recurring report

Illustrative example. Input: a dashboard insight and a schedule such as a weekly report on Monday at 9am. Steps: the user creates a scheduled task in Genie One, and Genie runs it on schedule and can send results by email. Output: a recurring report delivered to the chosen recipients.

Before you choose

• Genie One is billed on usage; check the Databricks pricing page for current SKUs and request a quote for committed-use terms before rollout.
• Answer quality depends on the governed data and knowledge sources connected.
• Genie One is intended for business users; technical work belongs in Genie Code.

Listed under

• Data

Get started

An admin assigns the consumer entitlement role to users who need access.

1. Ask a Databricks admin to assign the consumer entitlement role to the business users who need access.
2. Confirm the Databricks workspace is on AWS, Microsoft Azure or Google Cloud.
3. Connect external sources such as Slack, Jira or Google Drive through Unity AI Gateway so access stays governed.

Costs depend on the underlying Databricks services, compute, cloud and region. Use the product’s current SKU rates and calculator; general platform trial credits are temporary.

We couldn’t find published prices for Genie One. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 28 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Databricks Genie One: AI Coworker Grounded in Your Data ↗www.databricks.com
• Databricks Pricing: Flexible Plans for Data and AI Solutions | Databricks ↗www.databricks.com
• Databricks documentation | Databricks ↗www.databricks.com

Company website

databricks.com: product, pricing and policy pages

Web search

Confirms the official site

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

Last checked 28 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.