DataForge generates high-fidelity synthetic datasets that mirror the complexity of your real data
without ever exposing a single production record.
Every team needs realistic data for testing, demos, and development. The question is how they get it and at what cost.
DataForge combines intelligent data generation, quality validation, and flexible export in one unified platform.
Import existing DDL scripts, upload flat files, or define schemas from scratch all through a visual interface.
DataForge understands your data model. Foreign keys, parent-child hierarchies, and multi-table dependencies are all generated with full referential integrity.
Choose from 60+ built-in generators across people, addresses, finance, dates, identifiers, and more. Create custom generators for domain-specific needs.
Build reusable custom generators and curated datasets for domain-specific values. Standardize realistic test data across teams, scenarios, and repeat runs without rebuilding logic each time.
Intentionally inject controlled data quality issues nulls, duplicates, out-of-range values, malformed formats to stress-test your downstream pipelines.
Every generation run is validated against a live database sandbox. Row counts, foreign keys, uniqueness, and nullability are all verified with a single click.
Download datasets as CSV or SQL insert statements. Configurable delimiters, per-table downloads, or bundled ZIP exports ready for any system that needs them.
Distributed worker architecture processes data in parallel chunks. Generate millions of rows efficiently without impacting performance.
Deploy locally with a single command. No data leaves your network. No cloud dependency. Full control over where your synthetic data lives.
DataForge is designed for both technical and non-technical users. A guided workflow gets anyone from zero to usable test data quickly.
Import a DDL, flat file, or design your schema visually
Assign generators to each column and set row counts per table
Launch the job and track progress in real time on the dashboard
Review validation results, then download to a desired format
Built-in generators
Quality issue types
Rows/sec generation speed
Custom generators
DataForge doesn't just create clean data. It lets you deliberately break it so you can prove your pipelines handle the unexpected.
Run every generation job through an automated validation suite against a live database sandbox. Know immediately if your data meets structural expectations.
Inject controlled anomalies at configurable rates to stress-test ETL pipelines, data quality rules engines, alerting systems, and exception-handling paths.
Any team that needs realistic data but can't or shouldn't use production records.
Generate comprehensive test datasets that exercise every code path edge cases included without waiting on data teams or risking real records.
Validate pipelines against data with known quality issues. Prove that your transformation logic handles nulls, duplicates, and format errors correctly.
Populate demo instances with realistic-looking data for sales presentations, onboarding, and training refreshable on demand.
Scale to millions of rows to stress-test application performance under realistic data volumes, without the overhead of managing production copies.
Generate coordinated datasets across multiple related tables to test system integrations end-to-end with full referential integrity.
Demonstrate to auditors that no production data is used in non-production environments. Eliminate an entire category of compliance risk.
DataForge eliminates the need to use production data in non-production environments the simplest path to compliance.
No protected health information ever enters test environments. Generate healthcare-realistic data that's fully synthetic.
No personal data processing concerns. Synthetic data is not subject to data subject rights or consent requirements.
No real card numbers or financial data in lower environments. Eliminate scope expansion for PCI audits.
Runs entirely on your infrastructure. No data is sent to external services. You control where everything lives.
DataForge gives every team access to realistic, relationship-aware test data without the compliance headaches.