Most text-to-SQL comparisons score features. Features are not the problem.
Score them on the only thing that matters — does the number come back right, and can you prove it?
The scoring criteria that separate the field
| Criterion | Why it decides the outcome |
|---|---|
| Multi-table join accuracy | Single-table lookups tell you nothing |
| Behaviour under ambiguity | Ask, refuse, or silently guess? |
| Authorisation timing | Before execution, or filtered after? |
| Determinism | Same question twice, same answer? |
| Reproducibility | Can you rebuild a 6-month-old answer for an auditor? |
Almost every tool in the category scores well on page one of a demo. The separation happens on the last three rows, and those are architectural — you cannot bolt determinism onto a probabilistic pipeline later.
The test that ends most evaluations
Ask the tool something that has no valid answer on your schema.
A tool that can't say "I don't know" will eventually tell your CFO something untrue with total confidence. That is worse than a tool that fails loudly, because nobody knows which answer was the bad one.
Run this evaluation on your own schema
Benchmark demos use clean schemas with sensible names. Yours has three tables called something like customer and only one of them is current.
- A metric requiring a join across three tables, one with a near-duplicate
- A time comparison where the fiscal calendar ≠ calendar year
- A question two people are entitled to different answers to
- The same question, asked an hour apart
- Something unanswerable
Score every vendor on the same five. It takes an afternoon and the differences stop being marketing.
For reference: on real enterprise schemas, raw schema access scored 14.5% in our benchmark; compiled, governed context scored 98.2% with the same model.
The full breakdown — the scored comparison across the current field, with methodology and the cases where each tool loses — is here:
👉 The Best Text-to-SQL Tools in 2026, Scored on Accuracy, Governance, and Reproducibility
Originally published at colrows.com/blogs/best-text-to-sql-tools
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