SQL converter
Rewrite quoting, escaping, row limits and function names between 16 dialects, with a list of what it refused to guess at.
PostgreSQL query
Google BigQuery query
What it changed
'', backslash is literal\', backslash escapes1 placecurrent timestampCURRENT_TIMESTAMP1 placeVARCHARSTRING1 place
What you still need to do
1 thing this tool will not guess at
Array subscript
PostgreSQL counts array positions from 1, Google BigQuery from 0: the same arr[1] is the first element in one and the second in the other, with no error. In BigQuery, write arr[ORDINAL(n)] to count from 1.
Anything left in this list was recognised and left as it was on purpose. A function renamed to one that takes its arguments in a different order produces SQL that runs and returns the wrong rows, which is worse than SQL that fails.
Converting PostgreSQL to Google BigQuery: Key Syntax Differences
Translating SQL queries between PostgreSQL and Google BigQuery involves subtle dialect differences that standard text find-and-replace often misses. Everything below is processed entirely in your browser using SQLParity.
Identifier Quoting
PostgreSQL: "name"
Google BigQuery: `name`
String Literal Escaping
PostgreSQL: Quotes are doubled (''), backslash is literal.
Google BigQuery: Quotes are escaped with backslash (\'), backslash is an escape character.
Null-Safe Equality
Google BigQuery: colA IS DISTINCT FROM colB
Why In-Browser SQL Conversion Matters
Database migrations frequently involve proprietary business logic, sensitive table schemas, and production column names. When converting SQL between PostgreSQL and Google BigQuery, SQLParity executes all parsing, tokenization, and code rewriting locally in your browser. Zero queries or schemas are transmitted to remote servers.