biGENIUS Ratings (September 2025)
This page breaks down biGENIUS 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 biGENIUS’s overall reputation. This data-driven overview will show you exactly how biGENIUS is rated - including how it compares to competitors.
biGENIUS's Overall Rating Summary
- Average Rating:4.0/5
- Total Reviews:7 reviews
- Sources:G2, Capterra
- Last updated:September 1, 2025
G2
CapterraWhat is biGENIUS?
biGENIUS-X is a low-code data automation solution that enables the design, build, and maintenance of BI solutions independent of technology choice, featuring automated data transformation, data modeling, and business logic. It offers a modern GUI with drag-and-drop functions, metadata-driven approaches, and comprehensive automation from data modeling to code artifacts generation, ensuring scalability and efficiency. The platform supports rapid prototyping, migration, and advanced data automation for data vault modeling, data mesh, and data fabric, empowering data teams to streamline processes and overcome bottlenecks.
🤔 biGENIUS vs Competitors: How Do Ratings Compare?
Check out biGENIUS AlternativesFrequently Asked Questions
How trustworthy is biGENIUS?
According to G2 review site biGENIUS holds rating of 4/5, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is biGENIUS rated?
biGENIUS has an average star rating of 4.0 out of 5 stars based on average of 7 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from biGENIUS 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 biGENIUS 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.