Genie vs Glean

Summary

• Genie is the Databricks AI experience for users: one place to ask data questions in natural language, with data access governed through Unity Catalog.
• Glean describes itself as an enterprise AI platform connected to your enterprise's data, with Search, Assistant and Agents built on connectors to work apps.
• A Genie Agent turns questions into SQL over data registered to Unity Catalog, and the generated queries are always read-only.
• Glean's indexed connectors crawl content and permissions from connected apps into your Glean tenant, and search results follow each source app's permissions.
• The two connect: Genie One and Genie Agents list Glean as a Beta connector for searching your organization's connected apps.

Genie vs Glean

Genie and Glean answer questions from different starting points. Genie is the Databricks AI experience for data questions: a Genie Agent generates SQL against data registered to Unity Catalog and returns results tables and visualizations. Glean works through connectors that feed the Glean Knowledge Graph with documents, messages, tickets and other content. Genie fits questions about governed business data, such as revenue by region last quarter. Glean fits finding answers across the content in your work apps. You can use both together, because Genie can call Glean as a connector (Beta).

What is Genie?

Databricks describes Genie as "the Databricks AI experience for users": a single place to ask data questions in natural language, explore AI/BI dashboards and run Databricks Apps. Genie One is a simplified interface for business users, Genie Agents are domain-specific environments where data teams configure trusted data, metrics and business rules, and Genie Code is the AI coding and data assistant for developers.
A Genie Agent is a domain-specific chat interface where users ask questions of their data and get back SQL queries, results tables and visualizations. Data analysts curate each agent with datasets registered to Unity Catalog, example SQL queries, SQL expressions for business semantics and text instructions. In most cases, Genie generates a SQL query that runs on the agent's SQL warehouse, and generated queries are always read-only. Agent mode adds multi-step reasoning and hypothesis testing.

What is Glean?

Glean describes itself as an enterprise AI platform connected to your enterprise's data, with Search, Assistant and Agents. A Glean connector integrates Glean with a platform, service or application where your content lives. Connectors fetch data and store it in Glean's system, fetch the permissions map from each source, and capture changes through webhooks or incremental crawling.
Glean Agents are "reusable AI solutions that use instructions, knowledge, tools, and context to complete tasks for you and your team." You build them in Auto mode, by describing the desired outcome in natural language, or in Workflow mode for fixed, repeatable processes. Agents can read documents, tickets and records, and write to connectors to update tickets or log notes.

How do Genie and Glean compare?

Dimension	Databricks Genie	Glean
Main content	Data registered to Unity Catalog: tables, views, metric views and materialized views	Documents, messages, tickets and other content from connected work apps
How it answers	Generates SQL that runs on the agent's SQL warehouse, then returns results tables and visualizations	Retrieves from its connector-backed index and from live fetches, depending on the connector
Where the data sits	Registered to Unity Catalog; queries run on the agent's SQL warehouse	Indexed content and permissions sit in your Glean tenant; live connectors call the source
Setup	Data analysts curate each agent with data, example SQL and instructions	Connectors link each app; agents are built in Auto or Workflow mode
Access control	Unity Catalog evaluates data access as the user who asks	Search results follow the permissions set in the connected application
Writes	Generated SQL is always read-only; external tool writes (Beta) need the user's approval	Agents can write to connectors, for example to update tickets
Unstructured files	Files in Unity Catalog volumes through Agent mode (Beta)	Content that connectors crawl, such as documents and messages

How does Databricks approach AI answers over enterprise data?

When a Genie Agent runs a query, it uses compute credentials that the agent author embedded, but Unity Catalog evaluates data access as the end user's own identity, not the author's.
Genie also reaches beyond tables. Genie One can connect to external tools and sources such as Google Drive, SharePoint, GitHub and Glean (Beta) through Databricks-provided MCP connectors, so there's no server to host and no OAuth app to register. Unity Gateway authorizes each tool call against your Unity Catalog permissions, applies built-in policies and approval requirements, and records usage and audit logs in system tables.
In Genie Agents, external tools are in Beta. They run only in Agent mode, every tool call runs with the permissions of the user who asks, and write tools need the user's approval. Developers can also bring Genie into their own applications and chatbots with the Conversation API.

FAQs

Can I use Genie and Glean together?

Yes. Genie One and Genie Agents list Glean (Beta) as a connector that searches across your organization's connected apps. A metastore admin configures the Glean tenant ID first. The connector is search-only, so it can't read a document from a direct link.

How does Glean get content from source apps?

According to Glean's documentation, indexed connectors crawl content and permissions ahead of time, store them in your Glean tenant and read from that corpus at query time. Live connectors call the source system during the request, and hybrid connectors combine both.

Can Genie change my data?

Not through generated SQL, which is always read-only. With external tools (Beta) in Agent mode, Genie can take write actions in connected tools, such as sending a Slack message, after the user approves.

How does each product enforce permissions?

Genie relies on Unity Catalog, which checks data access as the user asking. Glean's documentation says it fetches the permissions map from each source, so search results follow the access permissions set in the source application.