Overview
Veritas is a real-time data validation and quality assurance engine designed for enterprise data pipelines. It sits between your data sources and warehouses, continuously monitoring data integrity, detecting anomalies, and preventing bad data from corrupting downstream analytics and ML models.
Key Capabilities
Schema drift detection and alerting
Statistical anomaly detection in real-time
Data lineage tracking and impact analysis
Custom validation rules with SQL and Python
Integration with dbt, Airflow, and Spark
Automated data quality scorecards
Built For
Data teams ensuring pipeline reliability at scale
Companies with strict data governance requirements
ML teams preventing model degradation from bad training data
Tech Stack
PythonApache KafkaClickHousedbtReactFastAPI