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Smarter and Safer Test Data

RowGen: Fast, Realistic Row Generation

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Test Data for Everyone

RowGen automatically builds and populates massive DB, file, and report targets with structurally and referentially correct test data - in minutes, not hours.

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Safe Test Data that Looks Real

Stop relying on confidential production data. And masked data may not be realistic or robust enough. RowGen uses your metadata and business rules to make better test data.

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Cover Every Scenario

RowGen-created test data improves DB/ETL prototypes and applications. Use its high quality, high volume targets to stress-test and future-proof your platforms and solutions.

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RowGen Use Cases

High Volume, Referentially Correct

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"RowGen generates 20GB tables with referential integrity for query testing. It eliminates production data access concerns and generates the volumes that reflect our growth."

Simultaneous Functional Testing

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"RowGen is the only tool that supplies high volumes of test data on multiple operating systems and simultaneously manipulates the test data for application compatibility."

Better than Production Data

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"RowGen creates realistic PII and PAN data to support our OLTP app development and testing. It\'s the only tool that generates test files in the formats and sizes we need."

Do You Need RowGen? Find Out

Superior Test Data Management

Use RowGen to:

  • Load Accurate, Safe Test DBs
  • Prototype DW ETL Ops
  • Outsource Development
  • Stress-Test Applications
  • Benchmark New Platforms
  • Comply with Privacy Laws

Build Test Data Directly into:

  • RDBMS Tables and Excel®
  • Rec/Line/Var. Sequential Files
  • CSV, LDIF, Text, and XML
  • MFVL, ISAM, and Vision FIles
  • Mainframe and V/B Files
  • Detail and Summary Reports

What Others Are Reading

Test Data Management Intro

HealthCare.gov Website Down

As anyone from healthcare.gov can tell you, complex application development requires adequate needs assessments and sufficiently robust test data.

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Realistic Data from Scratch

Wind Turbines

Can you supply your prototypes with good and bad anonymous data quickly? Will it conform to production ranges, distributions, and appearances?

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Automate DB Data Generation

Data floating

Testing DB queries and DW ETL/ELT jobs requires test data with structural and referential integrity, and support for special constraints, nulls, etc.

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Consider RowGen When You're

  • forgoing adequate testing and making inaccurate suppositions and extrapolations
  • coding custom 3GL or shell programs for test sets valid in only one scenario
  • using confidential production data at the risk of breaches, NDA violations, etc.
  • scouring a low-end market of test data tools that lack speed or functional breadth
  • relying on costly, hard-to-modify platform tools that subset and mask production data

Or When Production Data:

  • contains personally identifiable information
  • is restricted
  • does not yet exist
  • does not reflect future scope
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