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Synthetic Data Vault

sdv.dev

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Spec score 7.8 #12 of 29 in Synthetic Data Generation Software

What it is

Synthetic Data Vault (SDV) is a Python library and software platform for creating synthetic data from real data. It supports single-table, sequential, and relational multi-table datasets. Users train synthesizers with different AI algorithms, generate data on demand, and evaluate quality with diagnostic and comparison tools. Constraints, preprocessing adjustments, and anonymization options provide additional control. SDV Community is an on-premises Python SDK 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, forum support, and limited commercial use. AI Connectors provide 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 balance privacy and quality. Paid options are SDV Bundles at $250 a month per bundle plus usage per user, and Enterprise Base at $500 a month plus usage per user.

Spec sheet

Purpose
SDV is a Python library and software platform for creating synthetic data from real data.Read 3 Oct 2026 · docs.sdv.dev
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.Read 3 Oct 2026 · docs.sdv.dev
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.Read 3 Oct 2026 · datacebo.com
Integrations
The AI Connectors bundle supports database schema metadata detection, AI-ready data subsampling, and synthetic data export in the original database format.Read 3 Oct 2026 · docs.sdv.dev
Privacy
The Differential Privacy bundle uses ε-differential privacy and lets users set a privacy-loss budget to control privacy and quality tradeoffs.Read 3 Oct 2026 · docs.sdv.dev
Support
The pricing page says Community and Enterprise users can get help through the DataCebo Forum, with Enterprise support prioritized during busy periods.Read 3 Oct 2026 · datacebo.com
Founded
2020Read 28 Sep 2026 · sdv.dev
Customization
Users can add constraints, adjust data preprocessing, and select anonymization options for synthesizers.Read 3 Oct 2026 · docs.sdv.dev
Data types
SDV supports single-table, sequential, and multi-table (relational) data.Read 3 Oct 2026 · docs.sdv.dev
Database connectors
The AI Connectors page lists AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner.Read 3 Oct 2026 · docs.sdv.dev
Evaluation
SDV includes tools to measure synthetic data quality, diagnose problems, and visualize comparisons with real data.Read 3 Oct 2026 · docs.sdv.dev
Modeling
Users can train synthesizers with different AI algorithms and generate synthetic data on demand.Read 3 Oct 2026 · docs.sdv.dev
Usage billing
Enterprise usage-based pricing charges for synthetic data created and allows a monthly spending cap.Read 3 Oct 2026 · datacebo.com
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.Read 3 Oct 2026 · datacebo.com

Plans and prices

SDV Community Free No cost 5 data types · 5 basic constraints · 9 models · CSV and Excel support · local filetypes · forum support · limited commercial use Read 3 Oct 2026 · datacebo.com
SDV Bundles $250 a month $250/mo /bundle + usage per user Add-on bundles include CAG, XSynthesizers, Targeted Sampling, Differential Privacy, and AI Connectors Read 3 Oct 2026 · datacebo.com
SDV Enterprise Base $500 a month $500/mo + usage per user 12+ models · 10+ data types · dedicated forum support · AI Connectors available as add-on bundle Read 3 Oct 2026 · datacebo.com

Every Synthetic Data Vault plan and price →

Strong points and limits

Strong points

  • Handles single-table and relational data
  • Includes quality evaluation tools
  • Runs on premises through Python SDK
  • Offers database connector bundles
  • Provides differential privacy controls

Limits

  • Free plan has limited commercial use
  • Free plan includes five data types
  • Paid plans add usage charges
  • No separate paid-plan trial is specified

Who it suits

It suits developers and data teams generating, evaluating, and customizing synthetic datasets on premises. The listed connectors and privacy controls also support database-oriented and privacy-sensitive workflows.

Verdict

SDV provides a programmable route from real data to synthetic datasets, with evaluation, customization, connectors, and privacy options. Community is free but constrained, while paid pricing combines monthly fees with usage.

Where Specifiction places it

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