Tonic.ai vs Snaplet Seed
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 onlyFree and open source
Open sourceWhat drives the bill
The metric that actually scales your invoice.
Enterprise quote-based pricing by data volume and connected databases.
Free and MIT-licensed. Snaplet the company shut down in August 2024 and snaplet.dev no longer resolves; this is a community-held library, not a service.
Free tier
Free trial.
Everything, self-hosted
Open source
MIT
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
Tonic.ai · since 2018
Emerging
Supabase community (formerly Snaplet) · since 2021
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.
- Schema-aware generation means the data actually inserts and the app actually works.
- Deterministic seeds make failing tests reproducible.
- Good TypeScript ergonomics with Prisma and Drizzle.
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.
- Effectively unmaintained: the last npm release (0.98.0) was July 2024 and the last commit to the default branch was August 2024, though the repo is not archived.
- PostgreSQL-centric.
- TypeScript ecosystem only.
Best for
Organisations that currently copy production data into staging and know they should stop.
TypeScript teams that want each developer and CI run to start from a clean, coherent database.
All of these integrate with: PostgreSQL.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.