Tonic.ai vs Mockaroo
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Quote on request
Quote onlyFrom $60 per year (indicative, Silver)
Free tierWhat drives the bill
The metric that actually scales your invoice.
Enterprise quote-based pricing by data volume and connected databases.
Cheap for what it does; higher tiers raise row limits and add API quota.
Free tier
Free trial.
Free for up to 1,000 rows per download and a limited number of saved schemas.
Open source
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
Tonic.ai · since 2018
Established
Mockaroo LLC · since 2014
Strengths
- Preserves referential integrity and statistical distribution, so applications behave as they do in production.
- Directly addresses the GDPR and HIPAA exposure created by production data in lower environments.
- Subsetting produces a small but coherent slice rather than a full copy.
- No code required — an analyst or tester can design a dataset themselves.
- Very large library of realistic field types including regional formats.
- Formula fields allow simple business rules between columns.
Limitations
- Expensive, with enterprise-only pricing.
- Initial configuration of sensitive-field classification takes real effort.
- Adds a pipeline stage that must be maintained as the schema evolves.
- Referential integrity across related tables is limited.
- Free-tier row limits are low for realistic volume testing.
- Data is generated on a third-party service, which needs a privacy check for schema sensitivity.
Best for
Organisations that currently copy production data into staging and know they should stop.
Quickly producing a realistic dataset for a demo, a load test or a new environment.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.