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Synth Studio vs Synthetic Data Vault

Synth Studio

synthdata.studio

Synthetic Data Vault

sdv.dev

Side by side

FigureSynth StudioSynthetic Data Vault
Price fromFree$250/mo
Free planYesYes
Free trial——
Open sourceYes—
WebYes—
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Synthetic Data Generation Software8.3 (#3)7.8 (#12)
Spec score · AI Synthetic Data Generators8.3 (#6)7.8 (#13)
DeploymentSynth Studio is open source, self-hostable, and also available through its cloud offering.SDV Community is a Python SDK that can be installed and used on-prem; the page says it was developed on Python 3.9–3.14.
PurposeSynth Studio generates privacy-preserving synthetic datasets with mathematical privacy guarantees.SDV is a Python library and software platform for creating synthetic data from real data.
SupportSupport resources include interactive API documentation, a Postman collection, GitHub Issues, GitHub Discussions and a security contact email.The pricing page says Community and Enterprise users can get help through the DataCebo Forum, with Enterprise support prioritized during busy periods.

Plans

Synth Studio

  • Free to UseFree

Synth Studio pricing →

Synthetic Data Vault

  • SDV CommunityFree
  • SDV Bundles$250 a month
  • SDV Enterprise Base$500 a month

Synthetic Data Vault pricing →

In their own words

Synth Studio

Synth Studio generates synthetic tabular datasets with mathematical privacy guarantees. It accepts CSV and JSON files and detects their schemas automatically. Generation options include CTGAN, TVAE, GaussianCopula and schema-based methods. Differential privacy settings can be configured with epsilon and delta, using RDP accounting. Quality tools assess statistical similarity, machine-learning utility and privacy leakage, while automatic PII detection identifies fields such as names, emails and SSNs before generation. The product provides compliance reporting for HIPAA, GDPR, CCPA and SOC-2, alongside audit logs and model cards. Synth Studio is open source and can be self-hosted or used through its cloud offering. Local installation documentation lists Windows 10+, macOS 10.15+ and Linux. The free plan is free for up to 1 million rows per generation under an MIT License. REST API integration is available, but direct API access currently requires a session cookie or trusted proxy headers; API keys are upcoming. Documented API limits include 1,000 authenticated requests per minute and five concurrent generation jobs.

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Synthetic Data Vault

Synthetic Data Vault (SDV) is a Python library and software platform for creating synthetic data from real data. It supports single-table, sequential, and relational multi-table datasets. Users train synthesizers with different AI algorithms, generate data on demand, and evaluate quality with diagnostic and comparison tools. Constraints, preprocessing adjustments, and anonymization options provide additional control. SDV Community is an on-premises Python SDK developed on Python 3.9–3.14. Its free plan includes five data types, five basic constraints, nine models, CSV and Excel support, local file types, forum support, and limited commercial use. AI Connectors provide database metadata detection, data subsampling, and export in the original database format, with listed connectors for AlloyDB, BigQuery, MSSQL, Oracle, PostgreSQL, and Spanner. Differential Privacy uses an ε privacy-loss budget to balance privacy and quality. Paid options are SDV Bundles at $250 a month per bundle plus usage per user, and Enterprise Base at $500 a month plus usage per user.

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