Atlan Launches Data Quality Studio for Snowflake, Becoming the Unified Trust Engine for AI

Atlan, a metadata platform powering data and AI governance, today unveiled at Snowflake’s annual user conference, Snowflake Summit 2025, Data Quality Studio, a new module that runs natively on Snowflake Data Metric Functions (DMFs) and elevates Atlan into a unified trust engine. Atlan's Data Quality Studio supports the Snowflake AI Data Cloud’s existing data quality features to manage that freshness, completeness, validity, and more.

“GenAI breaks without trusted data,” said Prukalpa Sankar, Co-founder of Atlan. “By running business-first quality checks inside Snowflake and surfacing trust signals everywhere, Atlan works with the Snowflake AI Data Cloud to create a real-time guardian of context and compliance. That’s how customers become truly AI-native—fast, safe, and audit-ready.”

The Last Mile of AI Readiness: “Fit-for-Purpose” Data

Most data-quality tooling stops at pipeline health. Yet AI models and analytic dashboards fail when the data feeding them isn’t fit for the specific business question at hand.

Data Quality Studio closes this gap by letting business and data teams codify the real-world expectations — freshness, completeness, bias thresholds, regulatory constraints — on the high-value tables, views, and features that power analytics and AI. The result is that every prompt, vector search, and Snowflake Cortex AI call is backed by data that the business has pre-approved as safe to act on.

How Data Quality Studio Works with Snowflake

• No-code & SQL rule creation: Data teams can define quality expectations in natural language templates or via custom SQL inside Atlan’s metadata platform.
• Push-down execution on Snowflake DMFs: Rules run directly in the customer’s Snowflake account, keeping data in place and scaling to petabytes with zero new infrastructure required.
• Real-time trust signals: Badges, scores, and lineage overlays surface in Atlan & BI tools, instantly showing whether data is fit-for-purpose.
• Snowflake Unified Trust Center: Additionally, Atlan aggregates native DMF results and signals from partners like Anomalo, Monte Carlo, and Soda, giving teams one pane of glass for data health—from raw sources to data products to AI features.

“Atlan stands out as a Snowflake’s Elite Partner and our 2025 Data Governance Partner of the Year, providing joint customers a unified metadata control plane for data and AI,” said Christian Kleinerman, EVP of Product, Snowflake. “Atlan’s new Data Quality Studio, powered by Snowflake Data Metric Functions, combines business collaboration with Snowflake’s scale, creating confidence in AI-ready data. Enterprises bringing AI agents and apps to production need that certainty, and together, Snowflake and Atlan provide the blueprint for accelerating AI.”

Availability

Atlan Data Quality is in private preview. Organizations can request access at atlan.com/data-quality-studio or through their Atlan or Snowflake representative.

About Atlan

Atlan is the leading metadata platform powering data & AI governance. It is a control plane that stitches together a business’s disparate data & AI infrastructure, cataloging data and enriching it with business context and security. Data practitioners spend 30-50% of their time finding and understanding data; Atlan’s platform cuts that time by 95% and sets a new standard for an AI-Native future. With Atlan, data and business teams, and AI agents, can easily find, trust, and govern data across the entire enterprise. Backed by top investors including GIC, Insight Partners, Sequoia Capital India, and Salesforce Ventures, Atlan features deep integrations across the modern data stack and is trusted by the likes of General Motors, Autodesk, Unilever, Ralph Lauren, FOX, News Corp, Nasdaq, Medtronic, Plaid, and HubSpot to enable major AI and data democratization initiatives. To learn more about Atlan, please visit our website and follow us on X (@AtlanHQ) and LinkedIn.

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