BizDataX Ratings (September 2025)
This page breaks down BizDataX ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand BizDataX’s overall reputation. This data-driven overview will show you exactly how BizDataX is rated - including how it compares to competitors.
BizDataX's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:17 reviews
- Sources:G2, Capterra
- Last updated:September 1, 2025
What is BizDataX?
BizDataX offers a comprehensive data masking and anonymization solution that simplifies the process of cloning production data or extracting subsets while ensuring GDPR compliance. It features a sensitive data discovery module for automatic identification of PII across multiple systems and databases, and provides tools for creating smaller, masked test databases that maintain referential integrity. Additionally, BizDataX supports synthetic data generation and on-demand test data creation, making it ideal for various industries including banking, insurance, and logistics.
🤔 BizDataX vs Competitors: How Do Ratings Compare?
Check out BizDataX AlternativesFrequently Asked Questions
How trustworthy is BizDataX?
According to G2 and Capterra review sites BizDataX holds ratings of 4.4/5 and 4.7/5 respectively from 17 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is BizDataX rated?
BizDataX has an average star rating of 4.5 out of 5 stars based on average of 17 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from BizDataX public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for BizDataX is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.