Kumaran DQV – Data Quality Validator

DQV (Data Quality Validator) is Kumaran Systems’ ETL testing and data validation tool. It connects to source and target systems and compares every field, not a sample, so teams can prove a migration landed intact and catch bad data before it reaches production.

One tool covers five jobs: Compare reconciles any two datasets and flags every mismatch; Migrate moves data between platforms with mapping and pre/post validation; Mask protects sensitive fields while keeping table relationships intact across environments; Validate checks quality at field, record and table level; and Generate creates realistic synthetic test data with valid foreign keys.

DQV works with SQL Server, Oracle, MySQL, PostgreSQL, flat files, AWS, Azure and Google Cloud databases, REST APIs and JSON, XML and Parquet formats. It runs as a web app, CLI or embedded library and plugs into Informatica, Databricks and CI/CD pipelines.

On enterprise banking migrations, the vendor states that DQV has validated 200 million records in under two hours and cut a full ETL validation cycle from six hours to fifteen minutes. Kumaran Systems has delivered data services since 1992 and holds SOC 2 Type II, ISO 27001 and CMMI v3.0 certifications. A free trial is available.