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Snowflake users can now drive more value from their data with user choices collected with Didomi
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Snowflake users can now drive more value from their data with user choices collected with Didomi

Published  

10/15/2026

4
min read

Published  

October 15, 2026

by 

Rebecca Berbel

10 min read
Summary

‍Paris, October 12th, 2026 - Didomi, a leading privacy software provider, announces a new data export capability between its privacy solutions and the cloud-based data platform Snowflake, helping organizations get the most value out of their data while meeting data protection requirements worldwide. 

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One of the world's largest cloud data platform providers, Snowflake helps companies manage their data with its data warehouse and data lake solutions. But as data protection regulations expand worldwide, many organizations face dead-end data, data they can't fully use because it’s not tied to reliable user consent records.

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The new export feature removes that barrier by populating Snowflake with privacy data collected through Didomi’s privacy-preserving solutions:

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The export is a one-way data stream, so teams can query privacy choices directly and build activation and measurement efforts with privacy in mind from the start. 

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As an ecosystem, we see Snowflake as a powerful connective layer between consented first-party data and the AdTech, media and data partners that activate it. Bringing Didomi’s privacy signals into Snowflake allows brands to irrigate their ecosystem with trusted data — unlocking new use cases across audience activation, measurement and personalization.

- Frank Ducret, VP Ecosystem & Strategic Partnerships EMEA, Didomi

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To set up the transfer, organizations only need to follow a few steps:

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  1. Make sure the Snowflake admin account configuring the export has an email associated with it.
  2. In your Didomi account, enter your Snowflake account ID in the “Snowflake consumer account” field. 
  3. In Snowflake, find the Didomi data being shared with your Snowflake account under “Privately shared listings”. Select the data types you want to bring (CMP/PMP/API events and/or ACM data) 
  4. Click Get and follow the instructions to create a local database for the shared listing(s). The initial load can take several hours.

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The created database from the shared listing(s) will be available as a read-only database, allowing your organization to query the tables directly. 

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To learn more, visit the related article in the Didomi tech documentation.

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About Snowflake's AI Data Cloud 

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

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About Didomi

Didomi provides organizations with the data quality foundation they need to turn privacy into a competitive advantage.

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Through its comprehensive platform, Didomi offers a range of privacy-preserving solutions, including consent management, first-party data orchestration, server-side tagging, and compliance monitoring. This allows large corporations to optimize the collection and activation of user data, reduce compliance risk under global privacy regulations, and build their revenue operations on data they can trust.

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Active in more than 55 countries and supporting over 2,800 clients across diverse sectors, including some of the world's largest corporations, Didomi provides the infrastructure organizations need to stop settling for dead-end data. 

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Opt for better. Visit www.didomi.io 

The author
The authors
Rebecca Berbel
Product Marketing Manager
Product Marketing Manager at Didomi
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Rebecca Berbel
Product Marketing Manager
Product Marketing Manager at Didomi
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Access author profile