⭐Compare Features
Compare the features available across SDV Community and SDV Enterprise. SDV Enterprise users also have the option of purchasing SDV Bundles, which are optional add-on packages for targeted needs.
AI-Based Synthesizers
These synthesizers use AI to learn patterns from your data and use them to recreate synthetic data.
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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.
Data Integrations
These features make it easy to integrate the SDV into your application and pipeline.
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.
DPLaplaceNoiser, DPTimestampLaplaceNoiser, DPResponseRandomizer, DPWeightedResponseRandomizer for adding noise to a column to guarantee differential privacy
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DPECDFNormalizer, DPDiscreteECDFNormalizer for normalizing a column while guaranteeing differential privacy
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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.
Constraint-Augmented Generation
Input business rules into your synthesizer using constraints. This ensures high-quality, valid synthetic data, 100% of the time.
Predefined logic for individual tables: FixedIncrements, FixedCombinations, Inequality, OneHotEncoding, Range
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Advanced, predefined logic for multi-table tables: CarryOverColumns, CompositeKey, ForeignToPrimaryKeySubset, UniqueBridgeTable, and more.
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Support for programming your constraint and additional predefined logic
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Synthetic Data Evaluation
Evaluate your synthetic data by comparing it against the real data.
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