Study Finds SQL Beats Claude by 4 Seconds on 3 Analytics Tests
Updated
Updated · KDnuggets · Jul 7
Study Finds SQL Beats Claude by 4 Seconds on 3 Analytics Tests
3 articles · Updated · KDnuggets · Jul 7
Summary
Three StrataScratch analytics questions—Easy, Medium and Hard—produced correct answers from SQL, Pandas and Claude when all ran on the same dataset with schema-grounded prompts.
500-run medians showed SQL finishing in 0.002-0.010 ms, Pandas in 0.4-2.1 ms, while Claude added 2-4 seconds of inference time before any generated SQL executed.
Schema detail proved decisive: the study said Claude could silently return wrong but plausible results without explicit table, column and business-rule context, especially on joins and non-starter users counted as 0%.
The hard test still showed Claude could generate valid alternative SQL—using a window-function denominator instead of a scalar subquery—while matching the reference output exactly.
The study concludes SQL remains the most production-ready for deterministic analytics, Pandas suits custom transformations up to about 10 million rows, and AI agents fit reviewed first-draft or ad hoc queries.