Product News

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.

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

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

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.