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

Emily Winks profile picture
Data Governance Expert
Published:06/03/2025
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Updated:06/03/2025
3 min read

Key takeaways

  • Data Quality Studio runs on Snowflake Data Metric Functions enabling business-first quality checks at petabyte scale
  • Rules defined in natural language templates or custom SQL keep data in-place without new infrastructure
  • Real-time trust badges and scores surface in Atlan and BI tools guiding users before they act on data
  • Atlan aggregates signals from Snowflake DMFs and partners like Anomalo Monte Carlo Soda creating unified trust layer

Quick Answer: What is Data Quality Studio for Snowflake?

Data Quality Studio enables organizations to define business-first quality expectations in Atlan that execute natively via Snowflake Data Metric Functions. Rules run at scale in Snowflake while trust signals surface everywhere teams work ensuring AI systems operate on fit-for-purpose data.

Key capabilities:

  • No-code & SQL authoring: Define quality rules using templates or custom SQL in Atlan's metadata platform
  • Push-down execution: Rules run directly in Snowflake via DMFs keeping data in place and scaling to petabytes
  • Real-time trust signals: Badges scores and lineage overlays surface in Atlan and BI tools instantly
  • Unified Trust Center: Aggregates native DMF results and partner signals from Anomalo Monte Carlo Soda

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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

Permalink to “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

Permalink to “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

Permalink to “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.


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Atlan is the next-generation platform for data and AI governance. It is a control plane that stitches together a business's disparate data infrastructure, cataloging and enriching data with business context and security.

 

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