Atlan Named Snowflake’s 2025 Data Governance Partner of the Year, Launches

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

Key takeaways

  • Atlan won Snowflake's 2025 Data Governance Partner award as joint customer base grew 415%
  • Data Quality Studio lets business users define quality rules executed as Snowflake Data Metric Functions
  • Human-defined quality checks run natively in Snowflake with trust signals surfaced everywhere

Quick Answer: What was announced at Snowflake Summit?

At Snowflake Summit 2025, Atlan celebrated two milestones: winning Snowflake's Data Governance Partner of the Year award and launching Data Quality Studio, which runs business-defined quality checks as Snowflake Data Metric Functions.

Core components

  • Partner award: Named 2025 Data Governance Data Cloud Product Partner of the Year
  • Quality Studio: Business users define quality rules that execute natively in Snowflake DMFs
  • Push-down execution: Rules run directly in customer Snowflake environment with zero new infrastructure
  • Trust signals: Quality badges and alerts surface in Atlan, BI tools, and Slack in real-time

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Today at Snowflake Summit we’re celebrating a double milestone in our journey with Snowflake:

Together, these moments underscore a shared commitment to give every Snowflake customer the trust, context, and quality they need to become truly AI-native.


Snowflake’s 2025 Data Governance Partner of the Year 🏆

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Together, Atlan and Snowflake are redefining what it means to be AI-native, proven by a joint customer base that has grown 415% in the last 2 years, and Atlan’s Metadata Lakehouse is fast becoming the de-facto control plane for data and AI inside Snowflake.

Kieran Kennedy, VP, Data Cloud Product Partners at Snowflake, added, “Naming Atlan as our 2025 Data Cloud Product Partner of the Year for Data Governance is not just recognition of their technical excellence, but of their vital role in shaping how modern enterprises harness the AI Data Cloud.”

“Atlan’s Metadata Lakehouse acts as a control plane for governed AI — bringing context to Snowflake Cortex with its semantic layer, automated policy enforcement with Horizon, and curated, high-quality data products ready for AI consumption,” said Prukalpa Sankar, Co-founder of Atlan. “As organizations sprint toward becoming AI-native, they inevitably hit a trust gap that stops them from getting value from AI. Our lakehouse, along with the innovations we’re unveiling at Snowflake Summit, closes that gap so teams can move at AI speed with confidence.”



Introducing Data Quality Studio — human-defined, Snowflake-executed ✔︎

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The award is only half the story. Data Quality Studio deepens the partnership by turning Atlan into a unified trust engine for AI-driven enterprises.

At Atlan, we’ve always believed that data quality is about data being fit-for-purpose, and purpose is always defined by humans. Data Quality Studio enables humans, from business users to data engineers, to collaborate on defining what data quality rules should look like, and then run these checks as Snowflake Data Metric Functions, so customers can continue leveraging existing compute investments for data quality.

How Data Quality Studio Works:

  • Business-first rule creation – define freshness, completeness, bias, or regulatory thresholds in plain language templates or custom SQL.
  • Push-down execution on Snowflake DMFs – rules run directly in each customer’s Snowflake environment, keeping data in place and scaling to petabytes with zero new infrastructure.
  • Trust signals everywhere – badges, lineage overlays, and real-time notifications surface in Atlan, BI tools, and Slack to show instantly whether data is fit-for-purpose.

Christian Kleinerman, EVP of Product at Snowflake, noted, “Atlan stands out as Snowflake’s Elite Partner and our 2025 Partner of the Year for Data Governance by giving customers a unified metadata control plane for data and AI. Their new Data Quality Studio, powered by Snowflake Data Metric Functions, combines business collaboration with Snowflake’s scale, creating confidence in AI-ready data.”

“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.”

Data Quality Studio is in private preview today. Learn more at atlan.com/data-quality-studio.


Where to go next

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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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