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Best SDV Alternatives ranked by AI · updated Aug 2026

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SDV is an open-source Python ecosystem for learning statistical models from real data and generating synthetic tabular, relational, and time-series datasets. It is used by developers, researchers, and data scientists who want local control over the modeling workflow.

Developer: DataCebo Price: Free and open source; enterprise support available 🎯 sdv.dev
🔓 Open Source 🤖 Machine Learning Data Privacy Synthetic Data

Top 6 SDV alternatives

1 Statice logo

Statice

Statice GmbH

Statice is a privacy-preserving data platform for generating synthetic datasets and enabling controlled data collaboration. It is designed for enterprises handling sensitive...

Pros

  • Supports synthetic data generation for sensitive enterprise datasets
  • Includes privacy-focused controls for data sharing and collaboration
  • More suited to regulated organizations than general-purpose data tools

Cons

  • Less accessible to individuals and small teams than open-source alternatives
  • Custom enterprise pricing makes costs difficult to compare
  • Smaller ecosystem and community than SDV or YData

Custom pricing

Alternatives to Statice → Visit site
2

MOSTLY AI

MOSTLY AI

MOSTLY AI is an enterprise platform for generating synthetic tabular, time-series, and relational data. It targets organizations that need realistic privacy-preserving data...

Pros

  • Broad support for relational and sequential datasets
  • Strong enterprise governance and privacy features
  • More mature synthetic-data workflow than many smaller platforms

Cons

  • Enterprise features require a commercial plan
  • Can be more complex to deploy than developer-focused libraries
  • Less suitable for quick, lightweight experiments than Gretel

Free Community Edition; enterprise pricing custom

Alternatives to MOSTLY AI → Visit site
3

Gretel

Gretel Labs

Gretel provides APIs and tools for generating synthetic data, transforming sensitive datasets, and evaluating privacy and utility. It is aimed at developers...

Pros

  • Developer-friendly APIs and hosted workflows
  • Supports more data types than many tabular-only competitors
  • Built-in privacy and quality evaluation tools

Cons

  • Usage-based costs can be harder to predict at scale
  • Advanced governance is more enterprise-oriented than SDV
  • May require more platform integration work than an all-in-one suite

Free tier; paid usage and enterprise plans

Alternatives to Gretel → Visit site
4

Tonic AI

Tonic.ai

Tonic AI provides data de-identification, synthetic data generation, and test-data management for software and data teams. It is particularly focused on helping...

Pros

  • Strong focus on test-data provisioning and masking
  • Useful controls for repeatable development environments
  • Better suited than Statice for software testing workflows

Cons

  • Less focused on broad generative-model experimentation
  • Commercial pricing may be high for smaller teams
  • Some capabilities depend on deployment and integration choices

Custom pricing

Alternatives to Tonic AI → Visit site
5

YData

YData

YData provides open-source and commercial tools for data profiling, quality improvement, and synthetic data generation. It serves data scientists and engineering teams...

Pros

  • Combines data quality workflows with synthetic data generation
  • Offers open-source components for local experimentation
  • Useful for teams that need profiling before modeling

Cons

  • Synthetic-data capabilities are less specialized than MOSTLY AI's
  • Commercial platform features may require additional setup
  • Smaller enterprise synthetic-data footprint than Tonic.ai

Free open-source tools; cloud and enterprise pricing custom

Alternatives to YData → Visit site
6

Hazy

Hazy

Hazy is an enterprise synthetic-data platform for creating realistic datasets from sensitive business information. It focuses on privacy-preserving data access for analytics,...

Pros

  • Designed for regulated enterprise data environments
  • Produces synthetic datasets for analytics and model development
  • Strong fit for organizations needing controlled data access

Cons

  • Limited public pricing and developer documentation
  • Less accessible for independent developers than SDV
  • Smaller community footprint than Gretel or MOSTLY AI

Custom pricing

Alternatives to Hazy → Visit site

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