Qualytics + Databricks: The In-Lakehouse Data Quality Platform for Trusted AI
Create a trusted, AI-ready Lakehouse with proactive data quality that runs where your data lives.
Qualytics delivers the most advanced data quality solution, optimized for Databricks customers. By running directly inside Databricks, Qualytics proactively ensures data is always accurate, explainable, and ready for AI, without requiring data to leave the customer's cloud or Lakehouse environment.
With automation for 95% of rule creation and maintenance, adaptive intelligence, and deep row-level anomaly detection, organizations can confidently scale their Databricks workloads with continuous data trust.
Read more below or schedule a demo to see how it works!
Deliver Trusted, AI-Ready Data Across the Databricks Lakehouse
Turn Your Lakehouse Into a Trusted Data Foundation
Databricks powers scalable analytics and AI. Qualytics ensures the data feeding those workloads is governed, explainable, and ready for action. By learning from your data, automatically generating rules, and detecting row-level anomalies, Qualytics gives teams a proactive layer of data trust within the Lakehouse.
Native. Automated. Optimized for Databricks.
Qualytics profiles and evaluates your data directly inside Databricks. Automated rule creation removes 95% of manual work, while adaptive intelligence adjusts rules as your data evolves. Because everything runs in-Lakehouse, data never leaves your environment, and governance remains fully intact.
Accelerate Pipelines, Dashboards, and AI
With Qualytics embedded into Databricks Workflows, Delta Live Tables, SQL Warehouse, and Unity Catalog, teams detect anomalies in near real-time before they impact downstream systems and enable downstream remediation workflows. This ensures you always have reliable data powering your analytics, governance, and AI initiatives.
Built for Scale and Enterprise Trust
Qualytics strengthens the Databricks platform with deeper profiling, row-level detection, and governance-ready transparency. Highly regulated organizations choose the integration because it aligns with strict security, compliance, and architectural standards without the risk of sending data to external systems.