Vendor compatibility percentages describe their test environment. A SQL compatibility score should describe your workload.
For a database migration, use this reusable framework to evaluate compatibility with GBase Database.
5 Dimensions to Test
Core DML — 30%
Measure how many sampled statements run unchanged.
Procedural Code — 20%
Check procedures and functions that can be converted without manual rewrites.
Functions & Data Types — 15%
Verify built-in functions and data types against real application requirements.
Driver & Framework Support — 15%
Test whether applications connect without significant code changes.
Migration Toolchain — 20%
Evaluate schema conversion, data synchronization, compatibility scanning, and object comparison.
How to Use the Scorecard
- Extract the top 100 SQL statements by production frequency.
- Run the same workload against your target GBase Database environment.
- Record every failure and its root cause.
- Apply the predefined weights consistently.
- Use the results as evidence for migration planning.
The goal isn't to find the highest vendor-published percentage. It's to understand your actual SQL compatibility before committing to a migration.
One afternoon of production SQL sampling can reveal more than a dozen benchmark slides.
💬 Do you test real production SQL before choosing a database?
Top comments (1)
Your approach to evaluating SQL compatibility through workload-specific metrics is spot on, especially the emphasis on real production SQL over vendor benchmarks. The 5 dimensions you outlined create a comprehensive framework that many teams could benefit from, particularly the focus on procedural code and driver support, which are often overlooked. I wonder if you've considered integrating automated testing tools to streamline the workload sampling process? If you're looking to enhance this framework further or need assistance with toolchain integration, I'd be interested in discussing a paid collaboration.