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.
DQV (Data Quality Validator) is Kumaran Systems’ platform for ETL testing, data migration and test data management. It validates every record at field level rather than sampling, so mismatches get caught before they reach production.
Teams use it to compare source and target data, map fields between schemas, run validation rules at field, record and table level, mask sensitive data, and generate synthetic test data. It connects to the major databases, flat files, JSON, XML, Parquet and REST APIs. It also plugs into Informatica, Databricks and CI/CD pipelines.
In one banking case study, DQV validated 200 million records in under two hours.
Kumaran Systems is ISO 27001 and SOC 2 Type II certified, and DQV comes with a 14-day free trial that doesn’t need a credit card.
