The next generation of Databricks Genie
Databricks introduces a new Genie experience that answers questions beyond a single Genie Space, connects to enterprise knowledge stores, unifies business-user access, and extends the experience to native mobile apps.
Core Thesis
Databricks presents the next generation of Genie as a unified business-user interface for data and AI. The new Genie can route across certified Genie Spaces, governed dashboards, Databricks Apps, structured data, and unstructured enterprise knowledge sources such as Google Drive and SharePoint. It uses reasoning models and agent architecture, supports MCP connections through Unity Catalog AI Gateway, replaces the Databricks One experience while keeping the /one URL, and adds native iOS and Android access.
Argument Structure
The infographic follows the structure of the generated knowledge graph: section claims, glossary entities, a how-to interpretation path, and linked FAQ nodes.
Accurate responses without upfront modeling
Genie routes from one chat interface to trusted assets such as Genie Spaces, governed dashboards, and Databricks Apps without requiring new context layers.
Genie Spaces, Certified Genie Spaces and governed assets, Business logic reuse
Connecting to enterprise systems and knowledge stores
The release adds connectors and MCP support so Genie can use unstructured enterprise context and connect insight to action.
Enterprise knowledge stores, Google Drive connector, SharePoint connector
A globally unified home for business users
Databricks folds Databricks One into Genie and removes workspace boundaries to create a single business-user home.
Data and AI on every device
The new Genie extends dashboards, apps, and chat to native iOS and Android apps with the same governed data and logic.
Getting started
The article points readers to documentation for the new Genie UI, unified chat, account-level operation, and mobile-app access.
How The Argument Progresses
The knowledge graph models the article as an explicit sequence of reasoning steps rather than a loose summary.
1
Start from trusted assets
Genie routes questions to certified Genie Spaces, governed dashboards, and Databricks Apps.
2
Add enterprise context
It connects to knowledge stores such as Google Drive and SharePoint and supports MCP connections.
3
Unify the business-user home
It folds Databricks One into Genie and removes workspace boundaries through account-level access.
4
Bring the experience to mobile
It extends dashboards, apps, and chat to native iOS and Android apps.
Glossary From The Graph
These linked entities are exposed as DefinedTerm nodes in the RDF and mirrored in the embedded JSON-LD.
Databricks Genie
Databricks' business-user interface for asking questions, finding assets, and accessing insights across governed data and AI assets.
Genie Spaces
Curated domain experiences with guardrails, knowledge stores, benchmarking, and verified metric logic.
Certified Genie Spaces and governed assets
Trusted data and AI assets that Genie can prioritize when answering questions.
Business logic reuse
The reuse of analyst- and engineer-vetted logic already embedded in dashboards, apps, and Genie Spaces.
Agentic reasoning
The new architecture's ability to synthesize relationships across assets and data domains.
Enterprise knowledge stores
Unstructured context repositories such as document systems and business knowledge bases.
Google Drive connector
A built-in connector mentioned as a source of enterprise context for Genie.
SharePoint connector
A built-in connector mentioned as a source of enterprise context for Genie.
FAQ From The Knowledge Graph
Each question and answer below is linked to a separate resolver-backed node and mirrored in the metadata graph.
How many Genie Spaces does the article mention?
The article says customers created more than 1.5 million Genie Spaces in 2026 alone.
What unstructured sources are named?
Google Drive and SharePoint are named as enterprise knowledge sources.
What happened to Databricks One?
Databricks One has been renamed to Genie, with the /one URL retained for compatibility.
What identity systems are mentioned?
The article mentions Entra and Okta for automated identity management.