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Synthetic data
5 tools compared: how each is priced, where it runs, and what to consider instead.
| Tool | Pricing model | Free tier | Open source |
|---|---|---|---|
| MOSTLY AI Synthetic data platform that generates statistically representative tabular/relational data with built-in differential privacy. | Quote only | No | No |
| Synthesized Synthetic and test-data platform for generating privacy-preserving, statistically representative data to develop and validate ML models. | Quote only | No | No |
| Synthetic Data Vault Open-source Python library for generating synthetic tabular, relational and time-series data from real datasets you run yourself. | Open source + paid | Yes | Yes |
| Syntho Synthetic test-data platform combining AI-generated, rule-based and masked data, deployed inside a customer's own environment. | Quote only | No | No |
| Tonic.ai Suite of synthetic/de-identified test-data tools (Structural, Textual, Fabricate) for databases, unstructured text and mock data. | Free tier + paid | Yes | No |