Domo + Snowflake Intelligence: Better Data Conversations 

Data teams are under constant pressure to balance data governance with user autonomy. Traditional solution workflows introduce latency—both in query performance and in human turnaround—because every new question often requires a new visualization or data set.  

By integrating Domo with Snowflake Intelligence, organizations can operationalize natural-language querying directly on governed Snowflake data. This allows business users to interact with live data through a secure, governed interface, while data teams maintain centralized control over logic, access, and compute usage.  

Instead of building one-off solutions, engineers can expose reusable data models in Snowflake that Domo’s AI layer interprets dynamically, enabling self-service insights without additional pipeline or visualization overhead.  

We’re thrilled at Domo to be part of the Snowflake Intelligence launch partner program. In this blog, we’ll share what Snowflake Intelligence is and how it integrates with Domo.  

What is Snowflake Intelligence?  

Snowflake Intelligence is a tool that helps people use business data without needing to write code. You don’t need to know complicated computer languages like SQL. With Snowflake Intelligence, you can ask a question in your own words and get a reliable answer you can use—directly from your governed data in Snowflake.  

Sophisticated technology works behind the scenes to make this simplicity possible. Snowflake Intelligence is built on an agentic AI architecture powered by Cortex Agents, which are intelligent entities that orchestrate multiple AI tools to answer complex questions. When you ask a question, Cortex Agents determine which tools to use: Cortex Analyst translates your natural language into SQL queries for structured data in tables, while Cortex Search retrieves relevant information from unstructured sources like documents, PDFs, and support tickets.  

What makes Snowflake Intelligence particularly powerful is its use of semantic models—essentially a translation layer between how people talk about data (“total revenue last quarter”) and how it’s actually stored in your database. This ensures questions are interpreted correctly, answers stay consistent across your organization, and everything respects your existing data security rules.  

The result is fewer ad-hoc requests for the data team, faster time-to-answer for everyone else, and the confidence that comes from knowing your AI-powered insights are grounded in governed, trustworthy data.  

How Domo and Snowflake Intelligence work together  

Domo’s mission has always been to make data actionable across the enterprise—delivering the right information to the right people at the right time. With Snowflake Intelligence, that vision now extends to the full breadth of your data in Snowflake. Snowflake Intelligence enables natural-language querying that’s automatically translated into governed SQL for structured data and relevant document retrieval for unstructured sources—executed directly on Snowflake.  

Through this integration, Domo’s AI Chat experience will soon connect directly to Snowflake Intelligence’s semantic understanding, leveraging the metadata, business terms, and relationships defined in Snowflake’s semantic models and views. These semantic layers serve as a centralized business glossary, mapping familiar terms like “total revenue” or “customer churn” to the exact tables, columns, and calculations in Snowflake. The result is a consistent, governed query experience that enforces your organization’s data definitions while running entirely on Snowflake compute.  

When users ask questions in Domo, Snowflake Intelligence interprets intent, translates it into optimized SQL, and executes queries securely within Snowflake—respecting row-level and column-level security policies, semantic constraints, and data lineage. Queries never leave Snowflake; Domo simply provides the conversational and visualization layer on top.  

For organizations already using Domo with Snowflake, this means Domo’s AI Chat will soon automatically route natural-language queries to Snowflake Intelligence for any data sets that have been prepared and indexed for AI readiness. When the data set resides in Snowflake and is enabled for Snowflake Intelligence, Snowflake’s agent framework handles interpretation and response generation directly—returning governed, query-backed results inside the familiar Domo experience.  

Business users stay within the Domo interfaces they know—dashboards, apps, mobile, or embedded—while Snowflake Intelligence delivers the semantic precision, security, and compute performance under the hood. It’s the best of both worlds: Snowflake’s intelligence and scale powering natural-language access to live data, surfaced seamlessly through Domo.  

Why the Domo and Snowflake Intelligence integration matters  

Integrating Domo with Snowflake Intelligence addresses one of the hardest challenges in modern data architecture—balancing open access to data with rigorous governance and consistency. With Snowflake Intelligence as the semantic and policy enforcement layer, business users can explore governed data through Domo’s interfaces while all interpretation, security, and computation remain centralized in Snowflake.  

This approach allows teams to operationalize the intelligence already encoded in Snowflake’s semantic models and governance rules. Every query, even those initiated through natural language, adheres to the same definitions and policies managed by data engineers. The result is a governed self-service environment that expands access without compromising control or increasing the workload on data teams.  

By activating AI directly where work happens, this integration brings Snowflake Intelligence’s natural-language and semantic capabilities into everyday decision flows, enabling users to probe data that lives beyond static dashboards or prebuilt reports.  

This architecture comes together in three ways:

1. Easier access, the right controls  

This integration extends governed data access beyond analytics teams by federating control between Snowflake Intelligence and Domo’s experience layer. Snowflake Intelligence interprets natural-language queries and executes them directly against governed data, applying the underlying row-, column-, and object-level permissions defined in Snowflake. At the same time, Domo enforces experience-level access controls—ensuring users only interact with the datasets, dashboards, and applications they’re authorized to view.  

The result is an architecture where data governance remains centralized in Snowflake, while secure, role-aware access is exposed through Domo’s interface. This enables broader self-service exploration without replicating data or compromising policy enforcement—expanding access while maintaining complete control over what’s visible and queryable.  

Next, let’s see how finding the right answers becomes even simpler with clearer questions.  

2. Smarter questions, better answers  

When data in Snowflake Intelligence is properly modeled and enriched—with accurate labels, metadata, and semantic annotations—the intelligence layer can deliver far more precise and context-aware responses. Well-defined business terms, data lineage, and documentation allow Snowflake Intelligence to resolve intent accurately and generate optimized SQL that aligns with organizational definitions. The result is higher-fidelity answers with less manual interpretation, reducing time spent tracing metrics or validating sources.  

Once those governed answers are produced, Domo ensures they’re distributed across operational surfaces—dashboards, workflows, and embedded applications—so insights generated in Snowflake reach every team that needs them.  

3. Sharing information quickly  

Domo’s core strength lies in distribution and activation: delivering data-driven experiences across dashboards, applications, mobile interfaces, and embedded environments. Now, those same experiences can be natively powered by Snowflake Intelligence, with Domo serving as the interaction layer.  

When users interact with a Domo dashboard or app, their natural-language queries are securely routed to Snowflake Intelligence, which interprets intent, generates governed SQL, and returns precise results—all executed directly within Snowflake. Domo then visualizes and operationalizes those results across business workflows, ensuring every response reflects Snowflake’s semantics, governance, and compute performance.  

Getting started with Domo and Snowflake Intelligence  

To get the most from Domo and Snowflake Intelligence, your data should be modeled, documented, and semantically enriched within Snowflake. Well-prepared data sets—with consistent naming, tagging, and metadata—allow Snowflake Intelligence to interpret natural-language queries with higher precision and generate optimized SQL automatically. Some data sets may require refinement or alignment with existing semantic models to ensure complete AI readiness.  

For organizations already leveraging both platforms, integration is straightforward. Domo connects directly to Snowflake Intelligence using existing Snowflake connections. No new pipelines or data movement are required. Once authenticated, you can choose which tables to surface inside of Domo.  

By combining Snowflake Intelligence’s semantic and computational power with Domo’s ability to operationalize and distribute governed insights, teams can accelerate data delivery across the enterprise, turning governed Snowflake data into live, interactive experiences wherever work happens.  

Together, Domo and Snowflake Intelligence give data teams a clean separation of concerns: Snowflake for computation, semantics, and governance; Domo for activation, visualization, and operational delivery. The model is designed for scalability, where governed data never leaves Snowflake, yet insights reach every corner of the business.