We are thrilled to share the highlights from our recent Validatar 2025.2 release party webinar, where we unveiled game-changing features that are revolutionizing how data teams approach data quality management.
Watch the Validatar 2025.2 Release webinar
The Foundation for AI-Ready Data
At Validatar we are on a mission to ensure organizations have high-quality, reliable data they can trust.
With Gartner identifying unified data quality, metadata management, and observability as the three pillars needed to make data AI-ready, Validatar 2025.2 delivers exactly what modern data teams require.
The Validatar platform continues to provide a holistic approach to data quality assurance that covers the full lifecycle—from development through testing to production monitoring—while connecting to any data source, format, or type. This centralized approach with deep customization sets Validatar apart from other data quality tools.
Five Breakthrough Features That Address Your Biggest Data Quality Challenges
Improved Visibility with Stale-Test Status
Data stewards and analysts are often overwhelmed by too many rules and checks, and knowing where to focus is key for clarity and productivity.
To help create clarity, we have enhanced Validatar test statuses and introduced a new "stale" status that automatically identifies tests that haven't run within your configured trust score look-back period.
This status designation appears throughout the application—in the catalog, projects area, and KPI ribbons—giving you immediate visibility into tests that may need attention.
Metadata Reference Fields Unlock Automation
Perhaps the most technically exciting addition is Validatar’s new table and column metadata reference fields. These enable you to document relationships between tables and columns directly in your catalog, which then drives automated template testing.
During the live demo, we showed how you can now:
- Set up foreign key relationships in metadata
- Create template tests that automatically reference these relationships
- Scale testing across multiple tables with intelligent automation
This feature transforms how you handle master data management, business key validation, and cross-data source validation—making complex relationship testing as simple as documenting the connection once.
Enhanced Snowflake Security: Key Pair Authentication
For Snowflake users, we've added support for key pair authentication to stay ahead of Snowflake's phasing out of password authentication for non-user accounts. This ensures your connections remain secure and compliant with evolving security standards.
Streamlined User Experience: Stay in Your Flow
We've improved the Validatar user experience in both the catalog and projects areas. The biggest improvement? You can now view test results, run tests, and schedule jobs without losing your current context.
Stay focused on your current task by:
- Viewing test results without leaving the catalog or test folder
- Multi-select tests and run them in bulk
- Schedule tests directly from the catalog
This will help improve every user’s workflow in Validatar.
Test Wizard: Making Data Quality Accessible to Everyone
The crown jewel of this release is Validatar’s new Test Wizard, launching with over 100 out-of-the-box standard data quality tests for databases. This feature democratizes data quality testing by allowing both technical and non-technical users to add tests directly from the catalog.
Key capabilities include:
- Direct Catalog Integration: Add tests to specific columns or tables with just a few clicks
- Quality-Dimension Filtering: Find the right test by browsing completeness, uniqueness, validity, and other dimensions of data quality
- Variable Configuration: Enables no-code / low-code customization of test cases
- Bulk Operations: Apply tests to multiple columns simultaneously
- Template Integration: Use your own custom templates alongside our out-of-the-box tests
The live demonstration showed how quickly you can add uniqueness tests, state validation, and complex multi-column uniqueness checks—transforming what used to require SQL expertise into point-and-click simplicity.
Looking Ahead: Agentic AI Coming Soon
The webinar concluded with an exciting preview of our upcoming Agentic AI capabilities, launching in beta in Q4 2025. Built on principles of transparency, configurability, interoperability, and trust, this AI integration will span from strategic data quality planning to technical test creation.
The demo showed AI agents that can:
- Analyze tables and recommend initial tests
- Create and run tests through natural conversation
- Apply similar testing patterns across multiple tables
- Maintain full transparency in all AI actions
Validatar is pursuing ISO 42001 certification for AI Governance, demonstrating our commitment to trustworthy AI implementation.
Ready to Experience Validatar 2025.2?
Cloud customers: These features rolled out during our maintenance window on August 21, 2025, 10-12 PM CST.
Server customers: Installation packages are available as of August 28, 2025.
The combination of intelligent automation, enhanced user experience, and upcoming AI capabilities positions Validatar as the comprehensive data quality platform that grows with your needs—from simple monitoring to complex enterprise governance.
Whether you're dealing with regulatory requirements in financial services, ensuring patient data accuracy in healthcare, or preparing your data for AI initiatives, Validatar 2025.2 provides the automated, accessible, and actionable data quality management your organization needs.
Ready to transform your data quality journey?
Contact us at sales@validatar.com to see these features in action, or reach out to support@validatar.com if you're an existing customer ready to leverage these new capabilities.
Watch the Validatar 2025.2 Release webinar below: