SQL Formatter & Prettifier
Format, prettify, and indent SQL queries across 19+ database dialects including PostgreSQL, MySQL, SQLite, BigQuery, Snowflake, and T-SQL.
Reviewed May 25, 2026. Privacy model: tool input is processed in your browser and is not uploaded to BytePane servers.
About Multi-Dialect SQL Formatter
Structured Query Language (SQL) powers nearly every relational database, columnar analytics engine, and cloud data warehouse. However, each engine uses nuanced syntax rules: PostgreSQL supports JSONB arrow operators (->>) and Common Table Expressions, Google BigQuery uses backticked project paths and UNNEST() functions, Snowflake features warehouse commands and semi-structured variant queries, while SQLite operates on strict embedded pragmas. BytePane provides a unified client-side SQL formatter that parses and beautifies queries for 19+ distinct SQL dialects with zero server latency.
Dialect-Aware Formatting Features
Relational & Cloud DBs
Full parsing for PostgreSQL, MySQL, MariaDB, and SQLite. Correctly wraps clause boundaries (SELECT, FROM, JOIN, WHERE, GROUP BY, HAVING, ORDER BY) and cleans nested subqueries.
Modern Data Warehouses
Specialized formatting for Snowflake, Google BigQuery, Amazon Redshift, ClickHouse, and DuckDB. Handles partition qualifiers, cluster keys, and stage commands cleanly.
Enterprise & Distributed Engines
Supports Microsoft SQL Server (T-SQL), Oracle PL/SQL, IBM DB2, Apache Spark SQL, and Trino/Presto. Protects square brackets and dollar-quoted strings.
Formatting Options & Privacy
Customize your queries with 2-space or 4-space indentations, and enforce uppercase keywords (SELECT) or preserve existing casing. All formatting runs entirely inside your browser memory -- sensitive production data schemas, customer table structures, and internal credentials never leave your device.
Frequently Asked Questions
What SQL dialects are supported?
BytePane integrates the sql-formatter open source engine supporting 19+ dialects: PostgreSQL, MySQL, SQLite, Google BigQuery, Snowflake, Microsoft SQL Server (T-SQL), MariaDB, DuckDB, ClickHouse, Amazon Redshift, Oracle PL/SQL, Apache Spark SQL, Trino/Presto, Hive, IBM DB2, SingleStore, N1QL, and TiDB.
Does this formatter preserve quoted identifiers and strings?
Yes. Dialect-specific string literals (single quotes, escaped quotes) and identifier quotation rules (double quotes, MySQL backticks, SQL Server brackets) are respected and preserved.
Can I format complex queries with CTEs and window functions?
Yes. The engine parses Common Table Expressions (WITH clauses), subqueries, analytic windowing (PARTITION BY, ORDER BY, OVER), and JSON operators with appropriate indentation hierarchy.