# SDV by DataCebo Reviews
**Vendor:** DataCebo  
**Category:** [Synthetic Data Tools](https://www.g2.com/categories/synthetic-data)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 1
## About SDV by DataCebo
SDV lets developers easily build, deploy and manage sophisticated generative AI models when real data is limited or unavailable. These models create synthetic data that is statistically similar to original data. SDV is currently commercialized by DataCebo, which offers an Enterprise SDK ("SDV Enterprise") so that developers can easily build, deploy and manage sophisticated generative AI models for enterprise-grade applications.




## SDV by DataCebo Reviews
  ### 1. Using SDV to automatically generate test data in an enterprise setting

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.)

**Reviewed Date:** March 15, 2024

**What do you like best about SDV by DataCebo?**

SDV reached the maturity to work frictionless in many cases
SDV can handle multitable situations
Datacebo provides an open source  , lots of documentaton and good support in general 
SDV is strong in metrics which allows for easy evaluation of the results

**What do you dislike about SDV by DataCebo?**

SDV still has to grow in maturity to be able to handle very large and complex models (that represent minority of cases )

**What problems is SDV by DataCebo solving and how is that benefiting you?**

Create synthetic data for software testing in situations where the alternatives would be more costly , slower , of lesser quality and privacy



- [View SDV by DataCebo pricing details and edition comparison](https://www.g2.com/products/sdv-by-datacebo/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+12%3A46%3A07+-0500&secure%5Bsession_id%5D=bb1ec7a0-ed02-415c-a6d4-7704ec135542&secure%5Btoken%5D=91f7a6669a964a1eb7b4d819e1cad58d5145aaa37700aecf75c1c9fb89ffdbdf&format=llm_user)

## SDV by DataCebo Features
**Data Type**
- Structured Data
- Image Data
- Data Labeling/Annotation

**Synthesis Type**
- Full Synthesis
- Partial Synthesis

**Data Transformation**
- Data Utility
- Data Quality
- Privacy
- Data Formats
- Scale

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