Genie vs Snowflake Cowork

Summary

• Genie and Snowflake CoWork are parallel products on different platforms. Both give business users a conversational way to ask questions about governed enterprise data, and each documents a multi-step research mode.
• Snowflake CoWork, formerly Snowflake Intelligence, is a ready-to-use agentic application. Cortex Agents orchestrate its tools: Cortex Analyst writes SQL against semantic views, Cortex Search searches unstructured data, and custom tools extend it.
• Genie is the Databricks AI experience for users. A Genie Agent converts questions into SQL from annotated tables and columns registered to Unity Catalog, and Genie One chat first routes each question to a matching Genie Agent.
• On Databricks, Unity Catalog evaluates data access as the end user, with row filters and column masks enforced per user. Snowflake documents that CoWork inherits existing Snowflake governance controls, including row-access policies and column-level security.
• Genie answers from data registered to Unity Catalog, and CoWork agents connect to Snowflake semantic views, Cortex Search services, and tools. The platform where your governed data lives is the natural starting point.

Genie vs Snowflake Cowork

Genie and Snowflake CoWork are parallel products on different platforms. Genie runs on Databricks and answers from data registered to Unity Catalog. Snowflake CoWork runs on Snowflake, where Cortex Agents connect to semantic views, Cortex Search services, and tools. Both are aimed at business users who ask questions in natural language, both document row-level and column-level governance, and both offer a multi-step research mode.

What is Snowflake CoWork?

Snowflake describes CoWork as "a ready-to-use agentic application with an intuitive, conversational interface that helps business users discover and act on deep insights." It was formerly named Snowflake Intelligence. When a user asks a question, Cortex Agents turn natural language into governed actions and answers: an LLM orchestrator interprets the intent, selects tools, and then reviews and refines the results before generating the final answer.
The tools include Cortex Analyst, which creates SQL queries from natural language and runs them on your semantic views for structured data; Cortex Search, which searches unstructured data and returns relevant document text; and custom tools. Users can also upload files in the chat to give the agent more context. Snowflake lists CoWork as generally available.

What is Genie?

Genie is the Databricks AI experience for users. It gives every user in your organization a single place to ask data questions in natural language, explore AI/BI dashboards, and run Databricks Apps. All Genie products are grounded in your organization's data and governed through Unity Catalog.
A Genie Agent is a domain-specific natural-language 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 tailored to the organization's terminology. Chat in Genie One searches available Genie Agents for a relevant one. If none matches, it searches for relevant data assets.

Genie vs Snowflake CoWork: how do they compare?

Aspect	Genie	Snowflake CoWork
What it is	The Databricks AI experience for users: ask data questions, explore AI/BI dashboards, run Databricks Apps	A ready-to-use agentic application with a conversational interface for business users
How a question becomes an answer	A Genie Agent converts the question into SQL from annotated tables and columns; Genie One chat first finds a matching Genie Agent, then relevant data assets	Cortex Agents orchestrate tools: Cortex Analyst for SQL on semantic views, Cortex Search for unstructured data, and custom tools
Business context	Datasets registered to Unity Catalog, example SQL queries, SQL expressions for business semantics, and text instructions	Semantic views for structured data and Cortex Search services for unstructured data
Multi-step research	Agent mode: a research plan, multiple SQL queries, and a report with citations	Deep Research: sub-investigations run in parallel and synthesized into a structured report
Files	Files uploaded to Genie One chat	Files uploaded directly in the chat
Governance	Unity Catalog evaluates access as the end user; row filters and column masks are enforced per user	Inherits existing Snowflake governance controls, including row-access policies and column-level security
Lifecycle	Genie One, Genie Agents, and Agent mode are generally available	Generally available, per Snowflake's release notes

How does Genie handle governance and multi-step research?

Genie Agents evaluate data access as the end user's identity, not the author's. Each user sees only the data they are authorized to access, and each query is attributed to the end user in query history and the agent's monitoring page. Row filters and column masks defined in Unity Catalog are automatically enforced per user, and users don't need direct warehouse permissions.
Agent mode, generally available since July 2026, handles complex, exploratory questions. It creates a research plan, runs multiple SQL queries, iterates on what it finds, and delivers reports with citations, visualizations, and supporting tables.

FAQs

Do both enforce row-level and column-level security?

Both document it. In Genie Agents, row filters and column masks defined in Unity Catalog are automatically enforced per user. Snowflake says CoWork automatically inherits and respects all existing Snowflake data governance controls, including row-access policies and column-level security.

Does Genie have a deep research mode?

Yes. Agent mode in Genie Agents creates a research plan, runs multiple SQL queries, and delivers a report with citations, visualizations, and supporting tables. Snowflake's Deep Research decomposes a question into sub-investigations, runs them in parallel across structured and unstructured data, and synthesizes a structured report.

Which one should I use?

Genie answers from data registered to Unity Catalog on Databricks. CoWork agents connect to Snowflake semantic views, Cortex Search services, and tools. Start with the platform where your governed data already lives.