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Synthetic Data Vault
What it is
Synthetic Data Vault (SDV) is a Python library and software platform for making synthetic data from real data. It supports single-table, sequential and relational multi-table data, with synthesizers users can train using different AI algorithms. Users can generate data on demand and use evaluation tools to assess quality, diagnose problems and compare synthetic results with real data. Customization includes constraints, preprocessing adjustments and anonymization choices. 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. AI Connectors support database schema metadata detection, data subsampling and synthetic data export in the original database format; listed databases include AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL and Spanner. The Differential Privacy bundle uses an ε privacy-loss budget to manage privacy and quality tradeoffs. Bundles cost $250.00 per month per bundle plus usage per user; Enterprise Base costs $500.00 per month plus usage per user.
For and against
For
- Supports relational multi-table data
- Includes quality evaluation and diagnosis tools
- Offers preprocessing and anonymization controls
- Community SDK supports on-premises use
- Free plan includes nine models
Against
- Free plan has limited commercial use
- Paid bundles add usage charges per user
- No separate paid-plan trial period is specified
- Usage data may be collected and transmitted
The verdict
SDV provides synthetic-data generation alongside quality checks and customization controls, with an on-premises Community SDK. Its free plan has a stated commercial-use limit, while paid options add usage charges per user.
Who it suits
SDV suits developers and data teams who need synthetic datasets for single-table, sequential or relational data. Its Community SDK is an option for on-premises Python use, subject to limited commercial use.
Plans and prices
SDV Community
5 data types · 5 basic constraints · 9 models · CSV and Excel support
Read 3 Oct 2026 · datacebo.com
SDV Bundles
Add-on bundles include CAG, XSynthesizers, Targeted Sampling, Differential Privacy, and AI Connectors
Read 3 Oct 2026 · datacebo.com
SDV Enterprise Base
12+ models · 10+ data types · dedicated forum support · AI Connectors available as add-on bundle
Read 3 Oct 2026 · datacebo.com
On the record
- Customization
- Users can add constraints, adjust data preprocessing, and select anonymization options for synthesizers.docs.sdv.dev · read 3 Oct 2026
- Database connectors
- The AI Connectors page lists AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner.docs.sdv.dev · read 3 Oct 2026
- Data types
- SDV supports single-table, sequential, and multi-table (relational) data.docs.sdv.dev · read 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 · read 3 Oct 2026
- Evaluation
- SDV includes tools to measure synthetic data quality, diagnose problems, and visualize comparisons with real data.docs.sdv.dev · read 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.docs.sdv.dev · read 3 Oct 2026
- Modeling
- Users can train synthesizers with different AI algorithms and generate synthetic data on demand.docs.sdv.dev · read 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 · read 3 Oct 2026
- Purpose
- SDV is a Python library and software platform for creating synthetic data from real data.docs.sdv.dev · read 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 · read 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 · read 3 Oct 2026
- Usage billing
- Enterprise usage-based pricing charges for synthetic data created and allows a monthly spending cap.datacebo.com · read 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 · read 3 Oct 2026
