testdatatools
Comparative decision guide

Redgate SQL Data Generator vs Datanamic Data Generator

Database scope, current status and repeatability evidence. Choose around your required workflow, not a universal winner.

Database generators

Redgate SQL Data Generator

Redgate SQL Data Generator creates schema-aware synthetic rows for SQL Server and supported hosted deployments, with foreign-key consistency, custom generators, command-line automation, and fixed-seed repeatability.

Consider when

Best for SQL Server teams needing fast, schema-aware synthetic data, foreign-key consistency, custom generators, command-line automation, and repeatable seeded runs.

Sources and scope
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.

Consider when

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.

Sources and scope

What would make you choose differently?

Use the same target schema and business acceptance criteria for both products. Check source-data dependencies, operating model, exact edition and current product status. Document setup effort and failure recovery separately from row-generation speed.

Source-based tool comparison
Decision criteriaRedgate SQL Data GeneratorDatanamic Data Generator
Primary purposeRedgate SQL Data Generator creates schema-aware synthetic rows for SQL Server and supported hosted deployments, with foreign-key consistency, custom generators, command-line automation, and fixed-seed repeatability.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.
Consider whenBest for SQL Server teams needing fast, schema-aware synthetic data, foreign-key consistency, custom generators, command-line automation, and repeatable seeded runs.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.
Project & execution workflowDesktop and SSMS authoring generate fixtures directly into supported SQL Server environments.Author database generation in Windows; write rows directly or export INSERT scripts. Command-line automation is edition-dependent.
Limits to checkSQL Server scope; current requirements list Windows 10/11 and SSMS. Privacy masking, database subsetting, and virtualization are not documented.No longer a core product. Privacy masking, subsetting, virtualization, and fixed-seed repeatability are undocumented; pattern masks generate strings, not privacy-masked values.
DeploymentInstallable Windows desktop/SSMS tool; generate directly against SQL Server environments including Azure SQL Database, SQL Server on AWS RDS, and Google Cloud SQL for SQL Server. Command-line automation is documented; no cloud-hosted generator service is described.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.
License / price evidenceCommercial annual per-user subscription; a 14-day trial and SQL Toolbelt Essentials packaging are documented. Public pricing varies with license quantity; use the linked vendor page for current terms.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.
Synthetic generationDocumented · sourceDocumented · source
De-identification / maskingNot verifiedNot verified
Subsetting / subset planningNot verifiedNot verified
Data virtualizationNot verifiedNot verified
Seeded replay, scopedFixed seed · SQL Server workflowNot verified

Vendor documentation is not a measured head-to-head benchmark. Unknown stays unknown; all documented cells link to their sources.

Customize this comparison