Audience

ETL testers, DBAs, developers, functional QA and API testers at enterprises running data migrations, masking PII, or building compliance-grade data pipelines — especially in banking, insurance, telecom, and the public sector.

About Data Quality Validator (DQV)

DQV is Kumaran Systems' data quality and testing platform for teams who move, mask, or validate large volumes of data. It compares source and target datasets field by field, flags drift, and generates a mismatch report instead of manual spreadsheet checks.

It covers five areas: field-level comparison with drift detection, migration mapping between schemas, deterministic PII masking, record- and table-level validation with on-the-fly correction, and synthetic data generation for teams without production data to test against.

It connects to SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and plugs into Informatica, Databricks, and CI/CD pipelines, or runs standalone as a library or CLI tool.

In production, DQV has validated 26.6 million bank records in under 22 minutes. A free trial is available, alongside individual, enterprise, and on-premises licensing.

Pricing

Free Trial:
Free Trial available.

Integrations

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Company Information

Kumaran Systems
Founded: 1992
United States
kumaran.com/products/dqv/

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Product Details

Platforms Supported
Cloud

Data Quality Validator (DQV) Frequently Asked Questions

Q: What kinds of users and organization types does Data Quality Validator (DQV) work with?
Q: What languages does Data Quality Validator (DQV) support in their product?
Q: Does Data Quality Validator (DQV) offer a free trial?

Data Quality Validator (DQV) Product Features

Data Quality

Data Deduplication
Match & Merge
Data Profililng
Data Discovery
Address Validation
Master Data Management
Metadata Management