Got it! So we can prepare for the call, please provide a little more information.
We’re committed to your privacy. Tamr uses the information you provide to contact you about our relevant content, products, and services. For more information, read our privacy policy.
Tatiana Ladygina
Tatiana Ladygina
Director of Product Marketing
SHARE
Updated
July 7, 2026
| Published

Tamr Updates <1 Minute: June 2026

Tatiana Ladygina
Tatiana Ladygina
Director of Product Marketing
Tamr Updates <1 Minute: June 2026
Want a Summary?
Getting your Trinity Audio player ready...

June’s updates focus on making Tamr RealTime data products easier to manage, improving confidence when reviewing duplicates, and helping teams publish trusted data more reliably. With streamlined configuration, more accurate similarity scoring in Curator Hub, and built-in validation for published data views, these enhancements simplify day-to-day data mastering while reducing manual effort.

Faster Data Product Setup

Setting up Tamr’s real-time data products is now faster and more efficient. You can now create a copy of an existing data product configuration—carrying over sources, schema mappings, sensitive field settings, record consolidation rules, and data views. Quickly replicate proven configurations for new business units, regions, or use cases without rebuilding everything from scratch. 

Smarter Duplicate Review in Curator Hub

We’re continuing to improve the duplicate review experience in Curator Hub. You’ll find more focused similarity scoring for grouped attributes such as addresses, phone numbers, and email addresses. Overall similarity scores now consider only the values that matter most for duplicate review, excluding metadata such as consent dates, consent status, and attribute types. The result is clearer, more meaningful similarity scores that help curators make faster, more confident merge decisions.

Publish With Greater Confidence

For Tamr RealTime data products, you can now validate attribute names before publishing data. The new Validate Display Names option checks that attribute names are compatible with supported publishing destinations, including Snowflake, BigQuery, Amazon S3, Google Cloud Storage, and Azure Data Lake Storage Gen2. Tamr also prevents users from selecting views with invalid display names when configuring publish destinations—reducing publishing errors and helping ensure smoother downstream integrations.

These June updates continue Tamr’s commitment to making data mastering more efficient, transparent, and reliable. From accelerating data product configuration and deployment to improving duplicate review and helping prevent publishing issues before they occur, these enhancements help organizations manage trusted data with greater speed and confidence.

Where to Learn More

Visit Tamr Docs for a comprehensive breakdown of all June product changes, including bug fixes, UI improvements, and known issues.

Get a free, no-obligation 30-minute demo of Tamr.

Discover how our AI-native MDM solution can help you master your data with ease!

Thank you! Your submission has been received!
For more information, please view our Privacy Policy.
Oops! Something went wrong while submitting the form.