MonetDB Ratings (September 2025)
This page breaks down MonetDB 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 MonetDB’s overall reputation. This data-driven overview will show you exactly how MonetDB is rated - including how it compares to competitors.
MonetDB's Overall Rating Summary
- Average Rating:4.2/5
- Total Reviews:22 reviews
- Sources:G2, Capterra, Trustradius
- Last updated:September 1, 2025
MonetDB Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.5/5 | 15+ reviews | 01.09.25 |
 Capterra | 0/5 | 0+ reviews | 14.08.24 |
 Trustradius | 3.5/5 | 7+ reviews | 01.09.25 |
What is MonetDB?
MonetDB is a high-performance relational database system for analytics, offering a robust SQL-compliant interface with full-ACID properties, advanced SQL standards, and support for user-defined functions. It delivers rapid query results through fine-grained optimization and a columnar storage model, making it ideal for heavy analytical workloads. MonetDB is open-source, with a vibrant community and seamless integration via JDBC and ODBC drivers.
🤔 MonetDB vs Competitors: How Do Ratings Compare?
Check out MonetDB AlternativesFrequently Asked Questions
How trustworthy is MonetDB?
According to G2 review site MonetDB holds rating of 4.5/5, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is MonetDB rated?
MonetDB has an average star rating of 4.2 out of 5 stars based on average of 22 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from MonetDB public reviews pages on platforms: G2, Capterra, Trustradius. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for MonetDB 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.