Synthesizers

The SDV offers a variety of synthesizers, which use different algorithms to generate synthetic data.
Don't know where to start? We recommend the Fast ML Preset. This is a preset synthesizer that you can use with minimal customization. It's designed to get you going quickly with a basic machine learning model.
​Gaussian Copula Synthesizer​
Use a classical ML algorithm to learn from real data and generate synthetic data. This synthesizer is the most customizable, with faster performance than other approaches.
​CTGAN Synthesizer​
Use GAN-based ML algorithm to learn from real data and generate synthetic data. This model can create synthetic data at a high fidelity given enough training time.
＊Day Z Synthesizer​
Generate synthetic data from scratch using only the metadata. This synthesizer produces unlimited single table data with the correct formatting.
​TVAE Synthesizer​
Use a variational autoencoder ML model to learn from real data and generate synthetic data. This model can create synthetic data at a high fidelity given enough training time.
[Experimental] Copula GAN Synthesizer​
Use an hybrid ML model to learn from the real data and generate synthetic data. This algorithm combines classicial statistics with GAN-based modeling.
Which synthesizer should I use?
Use the table below to determine the right synthesizer for your needs.
Feature
＊ Day Z
Gaussian Copula
CTGAN
TVAE
Synthesize with only metadata
​✔
​
​
​
​
Add constraints
​
​✔
​
​✔
​
​✔
​
Understand & modify learned patterns​
​
​✔
​
​
​
Anonymize columns
​✔
​
​✔
​
​✔
​
​✔
​
Learn intra-table patterns​
​
​✔
​
​✔
​
​✔
​
Sample with conditions
​
​✔
​
​✔
(slow)
​✔
 (slow)
​Scalability​
​✔
​
​✔
​
​
​
Availability
Enterprise
Public
Public
Public
＊SDV Enterprise Features. These features are only available for licensed, enterprise users. To learn more about the SDV Enterprise features and purchasing a license, get in touch with us. 

Feature	＊ Day Z	Gaussian Copula	CTGAN	TVAE
Synthesize with only metadata	✔
Add constraints		✔	✔	✔
Understand & modify learned patterns		✔
Anonymize columns	✔	✔	✔	✔
Learn intra-table patterns		✔	✔	✔
Sample with conditions		✔	✔ (slow)	✔ (slow)
Scalability	✔	✔
Availability	Enterprise	Public	Public	Public

Last modified 12d ago