YData Synthetic review
A broad synthetic-data toolkit for multi-format, relational, and time-series generation.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
YData Synthetic generates synthetic tabular, time-series, multi-table, database, text, and document datasets. It is designed for data scientists, engineers, analysts, and enterprise teams working on privacy-preserving data sharing, machine-learning training, testing, development, and data augmentation. The product supports generative and bootstrap-based synthesizers, scenario-based generation, relationship preservation, and API generation. It is available across Windows, macOS, Linux, and API environments, and is now documented through the YData SDK.
Pricing is structured around a Free plan, Pay-as-you-go, and Enterprise. The Free plan includes a free monthly credit, 20+ connectors, synthetic data generation, and synthetic database generation. Pay-as-you-go costs $1 per credit and provides all features. Enterprise also provides all features with predictable pricing. This makes the Free plan a practical starting point for evaluating generation workflows, while the paid options are aimed at broader or ongoing requirements. The main pricing consideration is that Pay-as-you-go usage is tied to credits rather than a fixed subscription amount.
Coverage and ecosystem fit are the product’s strongest differentiators. It can generate synthetic documents in PDF, DOCX, and HTML, alongside CSV and Parquet data, and supports privacy levels, anonymization, and calculated features. Integrations include AWS S3, Azure Blob Storage, Azure Data Lake, Google Cloud Storage, Google BigQuery, MySQL, Azure SQL Server, PostgreSQL, Snowflake, Oracle DB, Databricks Unity Catalog, and Databricks Delta Lake. Choose YData Synthetic when one workflow needs multiple data formats, relational structure, time series, and storage or database connectivity. A narrower tool may be a better fit when the requirement is limited to one dataset type.
YData Synthetic pros and cons
- Where it wins
- Covers tabular, time-series, multi-table, text, and document generation
- Preserves relationships and foreign keys across multi-table datasets
- Connects with cloud storage, databases, and data platforms
- Where it doesn't
- Pay-as-you-go pricing is charged per credit
- Enterprise pricing is described as predictable rather than itemized
- Its broad feature set may exceed the needs of narrow use cases
YData Synthetic fact sheet, pricing and score →
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