SDV Enterprise vs YData SDK
SDV Enterprise
datacebo.comYData SDK
ydata.aiSide by side
| Figure | SDV Enterprise | YData SDK |
|---|---|---|
| Price from | $250/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · Synthetic Data Generation Software | 8.4 (#1) | 7.9 (#10) |
| Headquarters | Boston, Massachusetts, United States | Seattle, USA |
| Support | DataCebo offers support through a public forum and commercially reasonable efforts to answer up to 10 support inquiries per month within 2 to 3 business days. | The SDK documentation directs users to contact YData for support and other inquiries. |
Plans
SDV Enterprise
- SDV CommunityFree
- SDV Bundles$250 a month
- SDV Enterprise Base$500 a month
In their own words
SDV Enterprise
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.