Manufacturer / project: DataCebo / SDV project
When does it fit?
Consider SDV when you can train on representative tables and measure the patterns your tests need. It offers a local workflow for statistical data generation and evaluation. 1 · 2
Fit still depends on your mandatory requirements.
What should you check before choosing?
For a fixed payment reversal or exact regression result, use explicit cases or verify the required constraints. Community HMA targets smaller relational graphs and does not document conditional sampling. A saved Python model is not a portable model for every engine. 1 · 2 · 3 · 4 · 5 · 6
What must your PoC prove?
Check foreign keys, constraints, rare cases and source/output overlap. Keep evaluation data out of training. Reload the saved model on pinned versions and test reset_sampling. Confirm that the intended commercial use is permitted.
Acceptance plan, not a product test result. Execution scope and limits.
Deployment and license
Community runs locally in Python on CPU. Your team manages dependencies and storage. Reviewed release: 1.38.5, 28 September 2026. 1 · 2 · 3 · 4 · 5 · 6
Community is source-available under BSL 1.1, not blanket open source. Check the additional-use restriction and terms of the installed version. Enterprise requires a separate license. 1 · 2 · 3 · 4 · 5 · 6
Confirm the entitled version and operating requirements.
How you work with it
Fit a synthesizer to source tables, sample dataframes and validate them. Save/load supports reuse in compatible SDV/Python environments. Treat Python pickle files as trusted executable inputs. 1 · 2 · 3 · 4 · 5 · 6
Export does not establish compatibility with another runtime.
Documented capabilities
Documentation is not a measured benchmark. Unclear is missing evidence; the comparison matrix explains the gap.
Sources and scope
Sources can cover different releases; they do not establish measured performance.
Open the cited sources (6)
- SDV Community
Local Python library for single-table, multi-table and sequential learned data; CPU operation.
Source checked: 2026-10-11 - SDV Business Source License 1.1
Source-available terms with additional-use restriction on commercial synthetic-data services to third parties; version-specific conversion terms.
Source checked: 2026-10-11 - HMA multi-table synthesizer
Community HMA guidance for small relational graphs; conditional sampling not supported in the reviewed HMA docs; Enterprise is separate.
Source checked: 2026-10-11 - Sampling and reset_sampling
Repeated sampling of the same fitted model; not identical training or cross-platform byte replay.
Source checked: 2026-10-11 - GaussianCopula fitting and model save/load
Statistical single-table fit, pandas data and local saved Python model; not vendor-neutral engine interchange.
Source checked: 2026-10-11 - SDV releases
Version 1.38.5 released 28 September 2026; release record only, not a hands-on test.
Source checked: 2026-10-11