AI SQL Generator for DuckDB

DIALECT SUPPORT

DuckDB's SQL is modern and ergonomic; AI2SQL leans into it: read_parquet()/read_csv() table functions, QUALIFY, GROUP BY ALL and list/struct types for local analytics workflows.

Generate DuckDB queries free → Pricing

What AI2SQL handles for DuckDB

✓ Query files directly: FROM read_parquet('file.parquet')
✓ GROUP BY ALL and SELECT * EXCLUDE(...) conveniences
✓ QUALIFY and window functions are fully supported

Generate, explain, optimize and fix — all four tools are dialect-aware, so DuckDB output uses DuckDB syntax rather than generic SQL.

DuckDB guides & references

group by in duckdb Examples & 2025 Guide › join in duckdb Examples & 2025 Guide › window in duckdb Examples & 2025 Guide › Pandas to DuckDB Converter — Examples & 2025 Guide ›

Frequently asked questions

Can AI2SQL write DuckDB queries over Parquet/CSV? +

Yes — table functions like read_parquet and read_csv_auto are generated directly, no loading step needed.

Is DuckDB good for pandas-style work? +

Yes — and AI2SQL converts described dataframe logic into single DuckDB queries.

How does it differ from PostgreSQL? +

Dialect is Postgres-like with analytics extensions; AI2SQL uses DuckDB-specific conveniences when targeting it.