Explore SDV

SDV is available in Community and Enterprise editions.

SDV Community

Explore Synthetic Data. Train a generative AI with your own, simple datasets as a proof-of-concept. Create synthetic data that has the same patterns.

Publicly available with a Business Source License. Get started today!

SDV Enterprise

Ready for scale? Expand synthetic data solutions in your enterprise. Create generate AIs for more complex datasets.

Reach out to ask about pricing and plans. Visit our website.

SDV Bundles

SDV Enterprise users have the option to purchase any of the bundles below for access to additional features. Reach out to ask about pricing and plans. Visit our website.

CAG Bundle

Use Constraint Augmented Generation (CAG) to apply complex logic between multiple tables.

XSynthesis Bundle

Take your gen AI models to the next level with enhanced synthesizers and transformers.

More coming soon!

Check back for additional bundle offerings.

Full Feature List

AI-Based Synthesizers

These synthesizers use AI to learn patterns from your data and use them to recreate synthetic data.

	SDV Community	SDV Enterprise
GaussianCopula statistical AI	✅	✅
CTGAN, TVAE, CopulaGAN neural networks	✅	✅
XGC advanced Copula modeling with flexible shapes, faster runtime and more	❌	💠 XSynthesis bundle
SegmentSynthesizer for separately modeling highly segmented data	❌	💠 XSynthesis bundle
PAR for sequential data	✅	✅
HMA multi-table for limited tables (<5)	✅	✅
HSA multi-table for unlimited tables	❌	✅
Independent multi-table for unlimited tables	❌	✅
Performance estimates for multi-table synthesizers with various dataset sizes	❌	✅

Test Data Synthesizers

These synthesizers create random test data based on metadata alone. They do not use AI so you do not need to input any training data.

	SDV Community	SDV Enterprise
DayZSynthesizer single table	❌	✅
DayZSynthesizer multi table	❌	✅

Integrate You Data

These features make it easy to integrate the SDV into your application and pipeline.

	SDV Community	SDV Enterprise
Auto-detect metadata using data CSVs or DataFrames	✅	✅
Directly connect to a database for importing real data and creating metadata	❌	✅
Connect to a database for exporting synthetic data	❌	✅

Pre-Process Statistical Information

Transformers are used to pre-process your data, which can improve data quality. SDV synthesizers select transformers by default, but you can always customize these to your dataset.

	SDV Community	SDV Enterprise
FloatFormatter for missing value imputation, numerical columns	✅	✅
ClusterBasedNormalizer and GaussianNormalizer statistical transforms	✅	✅
XGaussianNormalizer with support for 100+ statistical distributions	❌	💠 XSynthesis bundle
Uniform, Label, and OneHot Encoding for discrete variables ( and )	✅	✅
Datetime Encoding including datetime format parsing	✅	✅
OutlierEncoder for numerical outliers	❌	✅

Understand & Anonymize Real-World Concepts

Transformers are used to pre-process your data, which can improve data quality. SDV synthesizers select transformers by default, but you can always customize these to your dataset.

These transformers are geared towards columns that correspond to industry or domain-specific concepts. Their structure may be human-created.

	SDV Community	SDV Enterprise
RegexGenerator, IDGenerator for keys and IDs	✅	✅
AnonymizedFaker general-purpose anonymization	✅	✅
PsuedoAnonymizedFaker for general pseudo-anonymization with a mapping	✅	✅
Emails understanding domains	❌	✅
Addresses understanding locations	❌	✅
Phone Numbers understanding country and area codes	❌	✅
GPS Coordinates understanding geographical areas and distances	❌	✅

Constraints

Constraints represent business rules and logic that you can apply to your synthesizer.

	SDV Community	SDV Enterprise
Predefined logic for individual columns: FixedIncrements, Negative, Positive, ScalarInequality, ScalarRange	✅	✅
Predefined logic for multiple columns: FixedCombinations, Inequality, OneHotEncoding, Range	✅	✅
Write your own custom constraints	✅	✅
Advanced, predefined logic: ChainedInequality	❌	✅
Support for custom constraints and additional predefined logic	❌	✅
Advanced predefined logic: FixedNullCombinations, MixedScales	❌	💠 CAG bundle
Advanced, multi-table logic & algorithms: CarryOverColumns, CompositeKey, ForeignToPrimaryKeySubset, UniqueBridgeTable, and more.	❌	💠 CAG bundle

Synthetic Data Evaluation

Evaluate your synthetic data by comparing it against the real data.

	Public SDV	SDV Enterprise
Access to SDMetrics library vendor-agnostic, open source	✅	✅
Diagnostic Report basic data validity checks , single and multi-table	✅	✅
Quality Report statistical similarity, single and multi-table	✅	✅
Privacy Metrics: CategoricalCAP, NewRowSynthesis, Inference Attacks	✅	✅
Visualization 1D and 2D bars, scatterplots, heatmaps and more	✅	✅
Use case-specific metrics: OutlierCoverage, SmoothnessSimilarity	❌	✅