VDD AI

Organizations make critical decisions every day based on the data stored in Snowflake. But hidden quality issues — from missing values and duplicates to broken joins and referential mismatches — can silently erode trust, slow down analytics, and create compliance risks. Data Integrity Monitor for Snowflake solves this problem by delivering comprehensive, interactive data quality audits directly inside your Snowflake environment.

Unlike external tools, Data Integrity Monitor runs natively in Snowflake with zero data movement, ensuring the highest levels of security, performance, and ease of adoption. It transforms raw Snowflake tables into validated, trusted data assets that analysts, engineers, and governance teams can rely on. What You Can Do with Data Integrity Monitor Audit Tables at Column Level Instantly calculate record counts to understand dataset size.

Identify null values to reveal data completeness gaps. Run distinct counts to uncover duplicates and anomalies. Validate Joins Across Tables Assess the quality of relationships between datasets.

Detect missing keys, mismatched records, and referential integrity issues before they impact downstream analytics. Visualize join performance with clear bar charts showing successful vs. unmatched records.

Explore Interactive Insights Navigate results through an intuitive interface designed for both technical and business users. Generate governance-ready metrics and dashboards to share with data quality stakeholders. Why Choose Data Integrity Monitor?

Native & Secure → 100% Snowflake-native app; no external data movement or credential storage. Fast & Scalable → Audits run on your compute, optimized from thousands to millions of rows. Actionable Insights → Clear visualizations and metrics make it easy to interpret results.

Governance-Ready → Strengthens compliance and oversight with transparent audit trails. Efficiency Boost → Replaces manual SQL checks with automated, repeatable quality audits. Data Integrity Monitor for Snowflake helps your organization move from raw data to reliable insights — quickly, securely, and confidently.