# Synthesizers

The SDV offers a variety of synthesizers, which use different algorithms to generate synthetic data.

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>＊</strong><a href="/pages/HDMBGrggfo56eVqshTRh"><strong>Day Z Synthesizer</strong></a></td><td>Generate synthetic data from scratch using only the metadata. This synthesizer produces multi table data with the correct formatting and referential integrity. </td><td><a href="/pages/HDMBGrggfo56eVqshTRh">/pages/HDMBGrggfo56eVqshTRh</a></td></tr><tr><td>＊ <a href="/pages/YUCMzSVwbgmfdq2c9QqP"><strong>Independent Synthesizer</strong></a></td><td>Use various ML algorithms to model each table independently. This synthesizer offers the fastest performance for unlimited tables.</td><td><a href="/pages/YUCMzSVwbgmfdq2c9QqP">/pages/YUCMzSVwbgmfdq2c9QqP</a></td></tr><tr><td><a href="/pages/bRhGmIiCgxBk2iQklerp"><strong>HMA Synthesizer</strong></a></td><td>Use a hierarchical ML algorithm to learn from real data and generate synthetic data. Produce data for limited columns in up to 5 tables with a depth of 1.</td><td><a href="/pages/bRhGmIiCgxBk2iQklerp">/pages/bRhGmIiCgxBk2iQklerp</a></td></tr><tr><td><strong>＊</strong><a href="/pages/OszFIlV96zb7HANgnWj6"><strong>HSA Synthesizer</strong></a></td><td>Use a segment-based ML algorithm to learn from real data and generate synthetic data. This synthesizer offers fast performance for unlimited tables.</td><td><a href="/pages/OszFIlV96zb7HANgnWj6">/pages/OszFIlV96zb7HANgnWj6</a></td></tr></tbody></table>

## Which synthesizer should I use?

Use the table below to determine the right synthesizer for your needs.

<table data-full-width="true"><thead><tr><th width="283">Feature</th><th width="121" align="center">＊ Day Z</th><th width="164" align="center">＊ Independent</th><th align="center">HMA</th><th align="center">＊ HSA</th></tr></thead><tbody><tr><td>Synthesize with only metadata</td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"></td><td align="center"></td><td align="center"></td></tr><tr><td>Add constraints</td><td align="center"></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td>Anonymize columns</td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td>Maintain <a data-footnote-ref href="#user-content-fn-1">referential integrity</a></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td>Learn <a data-footnote-ref href="#user-content-fn-2">intra-table patterns</a></td><td align="center"></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td>Learn <a data-footnote-ref href="#user-content-fn-3">inter-table patterns</a></td><td align="center"></td><td align="center"></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td>Learn <a data-footnote-ref href="#user-content-fn-4">cardinality</a></td><td align="center"></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td><a data-footnote-ref href="#user-content-fn-5">Scalability</a></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td><td align="center"></td><td align="center"><span data-gb-custom-inline data-tag="emoji" data-code="2714">✔️</span></td></tr><tr><td>Availability</td><td align="center">Enterprise</td><td align="center">Enterprise</td><td align="center">Public</td><td align="center">Enterprise</td></tr></tbody></table>

*＊SDV Enterprise Features.* *These features are only available for licensed, enterprise users. To learn more about the SDV Enterprise features and purchasing a license,* [*visit our website*](https://datacebo.com/pricing/)*.*

[^1]: With referential integrity, all references between tables are present. That is, there are no dangling (lost) references.

[^2]: Patterns inside of a single table, which include min/max boundaries, column shapes (marginals) and trends (correlations)

[^3]: Trends between multiple tables include correlations.

[^4]: Cardinality refers the number of children each parent has. You may have a strict cardinality requirement, such as an exact 1-1 mapping.

[^5]: Easily scale to more tables without significantly sacrificing performance or adding computational requirements


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