# Product News

## The Latest Product News

### [Trusted AI and Analytics at Scale with Databricks and Qualytics](https://qualytics.ai/resources/in/trusted-ai-and-analytics-at-scale-with-databricks-and-qualytics)

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**Dan Everett**  
Dir. Product Marketing  
Mar 3, 2026  
6 min read

### [What We Delivered in 2025 to Empower Data Quality Teams in 2026](https://qualytics.ai/resources/in/2025-product-recap)

**Dan Everett**  
Dir. Product Marketing  
Jan 14, 2026  
5 min read

### [How to Detect Table and Schema Changes in Snowflake Using Time Travel](https://qualytics.ai/resources/in/detect-table-and-schema-changes-in-snowflake-using-time-travel)

**Gustavo Cardoso**  
Dec 17, 2025  
3 min read

### [How to Validate Semi-Structured Data (Arrays, Structs, and Nested JSON) Without Flattening](https://qualytics.ai/resources/in/validate-semi-structured-data)

Qualytics introduces native validation for nested JSON, arrays, and structs, enabling comprehensive data quality checks without costly flattening pipelines.

AI-augmented data quality on Databricks, delivering proactive profiling, scalable rules, continuous monitoring, and governed remediation for trusted analytics and AI.

### [New in Qualytics: Agent Q, Complex Data Types, & Workflow Automation](https://qualytics.ai/resources/in/agent-q-complex-data-types-two-way-ticketing-what-we-shipped-in-february-2026)

February's releases expand data quality coverage to nested data types, add AI-assisted stewardship with Agent Q, and automate anomaly remediation workflows.

### [Faster Handoffs, Less Friction: What We Shipped in January 2026](https://qualytics.ai/resources/in/faster-handoffs-less-friction-what-we-shipped-in-january-2026)

What shipped in Qualytics this January: automated anomaly workflows, new ticketing integrations, and a cleaner, faster interface.

### [What We Delivered in 2025 to Empower Data Quality Teams in 2026](https://qualytics.ai/resources/in/2025-product-recap)

A look at the ten Qualytics features shipped in 2025, built to help data quality teams operate at scale and support AI, governance, and analytics.

This use case demonstrates how a Qualytics customer developed a lightweight monitoring process utilizing Snowflake Time Travel and Qualytics Quality Checks to surface data and schema changes within minutes, without requiring the addition of new pipelines or infrastructure.