Synthetic Data Vault
Synthetic Data Vault (SDV) is a Python library and software platform for generating synthetic data from real data.
What Synthetic Data Vault is
Synthetic Data Vault (SDV) is a Python library and software platform for generating synthetic data from real data. It handles single-table, sequential and relational multi-table data, with synthesizers that users can train using different AI algorithms. Tools help assess generated data quality, diagnose issues and compare results with real data. Users can add constraints, adjust preprocessing and choose anonymization options. SDV Community is a Python SDK for on-premises use, developed on Python 3.9–3.14. Its free plan includes five data types, five basic constraints, nine models, CSV and Excel support, local file types and forum support, with limited commercial use. Add-on bundles include AI Connectors and Differential Privacy. AI Connectors support database metadata detection, data subsampling and export in the original database format, with listed connectors for AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL and Spanner. Differential Privacy uses an ε privacy-loss budget to manage privacy and quality tradeoffs. The listed paid options are bundles at $250 a month per bundle plus usage per user, and Enterprise Base at $500 a month plus usage per user.
Good
- Free Community plan includes nine models.
- Supports single-table, sequential and relational data.
- Evaluation tools help diagnose and compare synthetic data.
- Community SDK can be used on-premises.
- Differential Privacy offers a configurable privacy-loss budget.
Watch out
- Community plan has limited commercial use.
- Paid options add usage charges per user.
- Enterprise support is prioritized during busy periods.
Who it suits
SDV may suit data practitioners who need synthetic single-table, sequential or relational data and want tools for evaluation and customization. The on-premises Community SDK and listed database connectors may also interest teams working with those environments.
Verdict
SDV offers a free starting point and tools for generating and evaluating several kinds of synthetic data. Check the Community plan’s commercial-use limit and the usage charges attached to paid options.
Plans and prices
From Synthetic Data Vault's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| SDV Community | Free | 5 data types · 5 basic constraints · 9 models · CSV and Excel support · local filetypes · forum support · limited commercial use · No cost |
| SDV Bundles | $250 a month | Add-on bundles include CAG, XSynthesizers, Targeted Sampling, Differential Privacy, and AI Connectors · $250/mo /bundle + usage per user |
| SDV Enterprise Base | $500 a month | 12+ models · 10+ data types · dedicated forum support · AI Connectors available as add-on bundle · $500/mo + usage per user |
The facts
Each one read from Synthetic Data Vault's own pages, with the date it was checked.
What it does
- Customization
- Users can add constraints, adjust data preprocessing, and select anonymization options for synthesizers.checked 3 Oct 2026
- Database connectors
- The AI Connectors page lists AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner.checked 3 Oct 2026
- Data types
- SDV supports single-table, sequential, and multi-table (relational) data.checked 3 Oct 2026
- Deployment
- SDV Community is a Python SDK that can be installed and used on-prem; the page says it was developed on Python 3.9–3.14.checked 3 Oct 2026
- Evaluation
- SDV includes tools to measure synthetic data quality, diagnose problems, and visualize comparisons with real data.checked 3 Oct 2026
- Integrations
- The AI Connectors bundle supports database schema metadata detection, AI-ready data subsampling, and synthetic data export in the original database format.checked 3 Oct 2026
- Modeling
- Users can train synthesizers with different AI algorithms and generate synthetic data on demand.checked 3 Oct 2026
- Privacy
- The Differential Privacy bundle uses ε-differential privacy and lets users set a privacy-loss budget to control privacy and quality tradeoffs.checked 3 Oct 2026
- Purpose
- SDV is a Python library and software platform for creating synthetic data from real data.checked 3 Oct 2026
- Support
- The pricing page says Community and Enterprise users can get help through the DataCebo Forum, with Enterprise support prioritized during busy periods.checked 3 Oct 2026
- Usage data
- DataCebo's privacy policy says the software may collect and transmit usage data such as synthesizers used and the number of cells sampled for billing and service purposes.checked 3 Oct 2026
The company
- Founded
- 2020checked 28 Sep 2026
Money
- Trial
- The pricing FAQ says Community is free and can be used to evaluate SDV; it does not specify a separate paid-plan trial period.checked 3 Oct 2026
- Usage billing
- Enterprise usage-based pricing charges for synthetic data created and allows a monthly spending cap.checked 3 Oct 2026
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