# Gretel vs Sarus

| Attribute | Gretel | Sarus |
|---|---|---|
| **Vioscale score** | 15 (6% (low)) | 42.6 (8% (low)) |
| deployment.options | - | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` |
| description.long | A platform for creating high-quality synthetic datasets that safely train and evaluate AI agents while meeting data privacy regulations. | A platform enabling organizations to perform analytics and AI on sensitive datasets without exposing the underlying data. It uses differential privacy and synthetic data generation to ensure data protection while delivering analytical results. |
| features.capabilities | - | `{"deployment":"both","open_source":true,"industry_focus":"healthcare","masking_included":false,"generation_method":"LLM/transformer","differential_privacy":true,"fidelity_utility_reporting":true}` |
| integrations.count | - | 6 |
| integrations.list | - | `[{"name":"Azure"},{"name":"Python"},{"name":"SQL"},{"name":"XGBoost"},{"name":"TensorFlow"},{"name":"Keras"}]` |
| pricing.model | commercial | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |

## Capabilities (Synthetic Data)

| Capability | Gretel | Sarus |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Generation method | - | LLM/transformer |
| Relational integrity | - | - |
| Differential privacy | - | ✓ |
| Privacy risk scoring | - | - |
| Fidelity utility reporting | - | ✓ |
| Masking included | - | ✗ |
| Deployment | - | Both |
| Open source | - | ✓ |
| Ci cd integration | - | - |
| Industry focus | - | Healthcare |
| SOC2 | - | - |
| HIPAA available | - | - |
| Pricing model | - | - |

*Source: Vioscale. Generated 2026-09-01T16:59:55.909Z. "-" = undocumented, not absent.*