testdatatools
Database generators

Datanamic Data Generator

Datanamic Data Generator creates schema-aware rows for nine platforms, with direct inserts or SQL, customizable generators, and foreign-key integrity. Vendor says it is no longer a core product.

Product status changed

When should you consider it?

Best for teams needing straightforward synthetic test data across Datanamic’s explicitly listed relational databases, with direct inserts or SQL scripts and customizable field generators.

Editorial fit assessment based on the sources below.

What are the limits?

No longer a core product. Privacy masking, subsetting, virtualization, and fixed-seed repeatability are undocumented; pattern masks generate strings, not privacy-masked values.

Which capabilities are documented?

Synthetic generationDocumented · source
De-identification / maskingNot verified
Subsetting / subset planningNot verified
Data virtualizationNot verified
Seeded replay, scopedNot verified

Documented means a cited vendor source describes this scoped capability. Not verified means the reviewed evidence cannot establish it. Neither is a hands-on test result.

How is it deployed and licensed?

Windows software connecting to supported databases; generates directly into a database or writes SQL INSERT scripts. Standard and Professional editions document command-line automation. Vendor says activated licenses can run offline.

Official purchase page lists Standard and Professional with monthly, annual, multi-year and perpetual options. Perpetual use retains the purchased version; subscriptions provide current versions while active. Confirm support and availability before purchase.

Sources and scope

  1. Generate database test data with Datanamic Data Generator

    Current product focus, nine named supported database platforms, schema-aware generation, >40 built-ins, direct insert/SQL output, FK handling, string-mask generators, no-longer-core notice.

    Source checked: 2026-10-01
  2. Buy Datanamic Data Generator

    Standard/Professional limits and prices across subscription/perpetual terms, offline use, licensing terms.

    Source checked: 2026-10-01

What should you verify in a proof of concept?

  1. Your database version, schema constraints and target formats.
  2. The exact product, edition, deployment and license entitlements.
  3. Your business assertions and the meaning of repeatability for your output.
  4. A failed run, cleanup and a repeat run on controlled inputs.
Define your requirements and proof of concept