DQV (Data Quality Validator) is Kumaran Systems’ platform for ETL testing and data migration. It compares source and target data at field level, validates records and tables, masks sensitive data and generates synthetic test data. It connects to the major databases, flat files, APIs and Parquet, and runs inside Informatica, Databricks and CI/CD pipelines. In one bank case study it validated 200M records, every one rather than a sample, in under two hours.
