Gretel.ai vs Snaplet Seed

Free tier available

Free and open source

Consumption-based on generated records; enterprise agreements available.

The Seed library is open source and free; note that Snaplet wound down its hosted product, so treat this as a library rather than a service.

Free tier with a monthly credit allowance.

Everything, self-hosted

Emerging

Gretel (NVIDIA) · since 2019

Emerging

Snaplet · since 2021

• Formal differential-privacy guarantees rather than best-effort masking.
• Synthetic data preserves statistical relationships useful for analytics and model training.
• Privacy and quality scores make the trade-off explicit.

• 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.

• Model training adds time and cost compared to rule-based masking.
• Overkill when simple anonymisation would satisfy the requirement.
• NVIDIA acquisition changes the strategic outlook.

• The company wound down its hosted business — evaluate the library's maintenance status before depending on it.
• PostgreSQL-centric.
• TypeScript ecosystem only.

Regulated organisations that need shareable data with defensible privacy properties.

TypeScript teams that want each developer and CI run to start from a clean, coherent database.