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Synthetic Data Vault
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 trained using different AI algorithms. Users can generate data on demand and assess quality through diagnostic and comparison tools. Constraints, preprocessing settings, and anonymization options can be adjusted. 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. Paid choices include bundles at $250/mo per bundle plus usage per user, and Enterprise Base at $500/mo plus usage per user. AI Connectors support database metadata detection, data subsampling, and export in the original database format; listed databases include AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner. A Differential Privacy bundle uses an ε privacy-loss budget to set privacy and quality tradeoffs.
Who it suits
SDV suits Python users who need to generate and evaluate synthetic single-table, sequential, or relational data. Its Community SDK is relevant to users seeking an on-premises option, subject to limited commercial use.
What it does well
- Supports single-table, sequential, and relational data.
- Includes data-quality diagnosis and comparison tools.
- Allows constraints, preprocessing, and anonymization choices.
- Community SDK supports on-premises use.
- Differential Privacy offers a configurable privacy-loss budget.
What to know first
- Community plan has limited commercial use.
- Bundles and Enterprise Base add usage charges per user.
- No separate paid-plan trial period is specified.
- Software may transmit usage data for billing and service purposes.
Limits
SDV Community includes five data types, five basic constraints, and nine models, with limited commercial use. The listed paid plans charge for usage per user; Enterprise usage-based pricing charges for synthetic data created and allows a monthly spending cap.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| SDV Community | No cost · 5 data types · 5 basic constraints · 9 models · CSV and Excel support · local filetypes · forum support · limited commercial use | Free |
| SDV Bundles | $250/mo /bundle + usage per user · Add-on bundles include CAG, XSynthesizers, Targeted Sampling, Differential Privacy, and AI Connectors | $250 a month |
| SDV Enterprise Base | $500/mo + usage per user · 12+ models · 10+ data types · dedicated forum support · AI Connectors available as add-on bundle | $500 a month |
As sdv.dev lists them, read 3 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the SDV website.
- Install and use the SDV Community Python SDK on-premises, or choose a listed paid plan.
- Prepare supported data, such as CSV, Excel, a pandas DataFrame, or JSON metadata.
- Train a synthesizer with an AI algorithm and generate synthetic data.
- Use the evaluation tools to assess the generated data.
Verdict
SDV offers data generation, quality evaluation, and customization across several data structures. Review Community's commercial-use limit and the usage-based costs of paid options before choosing a plan.
Questions
Is there a free plan?
Yes. SDV Community is free and can be used to evaluate SDV. Its listed features include five data types, five basic constraints, and nine models.
What does SDV cost?
SDV Community costs nothing. SDV Bundles are $250 a month per bundle plus usage per user, and SDV Enterprise Base is $500 a month plus usage per user.
Does SDV have a free trial for paid plans?
The pricing FAQ says Community is free for evaluating SDV. It does not specify a separate paid-plan trial period.
Can SDV be used on-premises?
Yes. SDV Community is a Python SDK that can be installed and used on-premises. It was developed on Python 3.9–3.14.
Which databases are listed for AI Connectors?
The listed connectors are AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner.
What does the Differential Privacy bundle do?
It uses ε-differential privacy and lets users set a privacy-loss budget to control privacy and quality tradeoffs.
Facts from Synthetic Data Vault's own pages
- Customization
- Users can add constraints, adjust data preprocessing, and select anonymization options for synthesizers. · docs.sdv.dev, 3 Oct 2026
- Database connectors
- The AI Connectors page lists AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner. · docs.sdv.dev, 3 Oct 2026
- Data types
- SDV supports single-table, sequential, and multi-table (relational) data. · docs.sdv.dev, 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. · docs.sdv.dev, 3 Oct 2026
- Evaluation
- SDV includes tools to measure synthetic data quality, diagnose problems, and visualize comparisons with real data. · docs.sdv.dev, 3 Oct 2026
- Founded
- 2020 · sdv.dev, 28 Sept 2026
- Integrations
- The AI Connectors bundle supports database schema metadata detection, AI-ready data subsampling, and synthetic data export in the original database format. · docs.sdv.dev, 3 Oct 2026
- Modeling
- Users can train synthesizers with different AI algorithms and generate synthetic data on demand. · docs.sdv.dev, 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. · docs.sdv.dev, 3 Oct 2026
- Purpose
- SDV is a Python library and software platform for creating synthetic data from real data. · docs.sdv.dev, 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. · datacebo.com, 3 Oct 2026
- 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. · datacebo.com, 3 Oct 2026
- Usage billing
- Enterprise usage-based pricing charges for synthetic data created and allows a monthly spending cap. · datacebo.com, 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. · datacebo.com, 3 Oct 2026
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