BigQuery SQL generator from plain English
Describe an analytics question and get BigQuery Standard SQL — backticked table refs, the right date and array functions, partition-aware.
BigQuery Standard SQL has distinctive syntax: `project.dataset.table` references, ARRAY and STRUCT handling, APPROX functions, and partition/cluster considerations that affect both correctness and cost. Hand-writing it from memory is error-prone.
Choose the BigQuery dialect, describe the analysis in English, and paste your schema. The tool produces Standard SQL with the right function names and reference style, plus an explanation and assumptions you can review.
Great for ad-hoc analytics where you know the question but don’t want to context-switch into BigQuery’s exact dialect every time.
The tool for this
🗄️Text to SQL
Turn plain English into correct SQL for Postgres, MySQL, SQLite, BigQuery or Snowflake — schema-aware.
Frequently asked questions
How do I generate BigQuery SQL from a question? +
Select the BigQuery dialect, describe the analysis, and paste your schema. You get Standard SQL with correct references and functions.
Does it use BigQuery-specific syntax? +
Yes — backticked `project.dataset.table` refs and BigQuery functions, with an explanation of choices.
Can it help control query cost? +
It surfaces assumptions (like which columns/partitions it reads) so you can review before running a billed query.
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