SDV Enterprise vs Synthetic Data Vault

SDV Enterprise is a downloadable Python SDK for generating synthetic data for software testing, machine-learning development, and other uses. It creates data with the same properties and format as real data, and supports structured records such as database tables, CSV files, Excel spreadsheets, and JSON. It can learn patterns across complex, multi-table schemas, and supports single-table, multi-table, and sequential data. The SDK can be installed in a secure environment or on premises on Linux, Windows, or macOS, and does not require GPUs. DataCebo says customer data and models remain in the customer environment and are not hosted, stored, or accessed by the software. Users can choose from hundreds of data-processing options, anonymize sensitive PII, and supply business logic to the model. AI Connectors detect database metadata, import training subsamples, and export synthetic data in the original database format; connectors include AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner. A free Community plan is listed. Enterprise Base costs $500 a month per user plus usage; Bundles cost $250 a month per bundle per user plus usage.

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.