Product News
How to Validate Semi-Structured Data (Arrays, Structs, and Nested JSON) Without Flattening
Qualytics introduces native validation for nested JSON, arrays, and structs, enabling comprehensive data quality checks without costly flattening pipelines.
Trusted AI and Analytics at Scale with Databricks and Qualytics
AI-augmented data quality on Databricks, delivering proactive profiling, scalable rules, continuous monitoring, and governed remediation for trusted analytics and AI.
What We Delivered in 2025 to Empower Data Quality Teams in 2026
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.
How to Detect Table and Schema Changes in Snowflake Using Time Travel
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.
Qualytics + Alation
Partnership announcement exploring Qualytics integration with Alation data catalog, enabling comprehensive metadata management, quality monitoring, and collaborative governance workflows.
Go With The Flow
Introduction to Qualytics Flow capabilities, explaining workflow automation, orchestration features, integration patterns, and use cases for streamlined data quality operations.

.png)

