We are thrilled to announce that YData has been recognized as the most statistically accurate synthetic data generator in AIMultiple's 2025 benchmark. This independent evaluation assessed seven publicly available synthetic data generators from four providers, including YData, Mostly AI, Gretel, and Synthetic Data Vault (SDV).
The benchmark utilized a holdout dataset comprising 70,000 samples with both numerical and categorical features. Each generator was trained on 35,000 samples and evaluated against the remaining 35,000 to assess their ability to replicate real-world data characteristics.
YData's performance stood out across key statistical metrics:
Correlation Distance (Δ): Assessing the preservation of relationships between numerical features.
Kolmogorov-Smirnov Distance (K): Evaluating the similarity of numerical feature distributions.
Total Variation Distance (TVD): Measuring the accuracy of categorical feature distributions.
In all these areas, YData demonstrated superior capability in generating synthetic data that closely mirrors the statistical properties of real datasets.
This recognition underscores YData's commitment to advancing synthetic data solutions that prioritize both data utility and privacy. By delivering high-fidelity synthetic data, YData enables organizations to accelerate AI development, enhance model training, and ensure compliance with data protection regulations.
For a comprehensive overview of the benchmark and its methodology, please refer to the original source:
🔗 Synthetic Data Generation Benchmark & Best Practices 2025
We extend our gratitude to AIMultiple for their rigorous evaluation and to our dedicated team whose efforts have made this achievement possible.