SQL Formatter

Format SQL for 16 dialects, including PostgreSQL, MySQL, SQL Server, Oracle, BigQuery and Snowflake.

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Why use an SQL Formatter?

Clean, well-formatted SQL code is essential for maintainability and collaboration. Our tool helps you transform messy queries into readable scripts, making it easier to debug and optimize your database operations.

Key Features

  • Multiple Dialects

    16 dialects, from PostgreSQL, MySQL and SQL Server to Snowflake, Redshift, DuckDB and Trino.

  • Customizable Casing

    Transform keywords, functions, and identifiers to uppercase, lowercase, or preserve original casing.

  • Compact Parentheses

    Automatically compact lists in parentheses for cleaner WHERE IN clauses.

  • Advanced Formatting

    Adjust tab width, expression width, and logical operator placement to match your team's style guide.

Supported SQL Dialects

🐘PostgreSQL

Standard compliant and robust open-source database dialect.

🐬MySQL

World's most popular open-source database syntax.

🦭MariaDB

MariaDB, the community-developed fork of MySQL.

🔷SQL Server (T-SQL)

Microsoft SQL Server and Azure SQL, with bracketed names and GO batches.

🔴Oracle (PL/SQL)

Oracle SQL and PL/SQL, including optimizer hints and CONNECT BY.

🪶SQLite

SQLite, the embedded database inside apps and mobile devices.

🔍BigQuery

Modern Google Cloud BigQuery SQL syntax support.

❄️Snowflake

Snowflake’s SQL dialect for its cloud data platform.

🟥Amazon Redshift

Amazon Redshift, the PostgreSQL-derived data warehouse.

🟦IBM Db2

IBM Db2 for Linux, Unix and Windows.

⚡Spark SQL

Apache Spark SQL, as used in Spark jobs and Databricks.

🐝Apache Hive

Apache Hive’s HiveQL for Hadoop data warehouses.

🐰Trino

Trino (formerly PrestoSQL), the distributed query engine.

🦆DuckDB

DuckDB, the in-process analytical database.

🟣SingleStoreDB

SingleStoreDB (formerly MemSQL), a MySQL-compatible distributed database.

📋Standard SQL

ANSI-style SQL, for queries that use no dialect-specific syntax.

SQL tools

How to format SQL online?

1. Paste your SQL query into the 'Original SQL' tab.

2. Select your database dialect (e.g., PostgreSQL or MySQL).

3. Customize the formatting options to your preference.

4. Copy the beautified SQL from the 'Formatted SQL' tab.

Comprehensive Guide to SQL Formatting and Standardization

Structured Query Language (SQL) is the backbone of modern data management. While SQL syntax is relatively English-like, the complexity of real-world database queries can quickly lead to what many developers call "wall of text" syndrome. Formatting SQL code—applying consistent indentation, keyword capitalization, and logical spacing—is not just an aesthetic preference; it is a critical engineering practice for maintaining code quality, ensuring security, and facilitating team collaboration.

When SQL queries are properly formatted, the underlying logic becomes immediately apparent. Nested subqueries, join conditions, and complex filtering logic can be understood at a glance. This improves code review efficiency, reduces the likelihood of logic errors during maintenance, and facilitates faster debugging of production issues. For engineering teams, adopting a unified SQL style guide ensures that code written by dozens of different developers looks consistent, drastically reducing cognitive load when switching between tasks.

SQL Dialects: Navigating the Fragmentation

Although SQL is technically an ANSI standard, every major database management system (DBMS) implements its own "dialect" with specific extensions, proprietary features, and unique performance characteristics. Our formatter is built to respect these nuances, offering specialized support for the world's most popular database systems:

  • PostgreSQL: Known for its strict standards compliance and powerful object-relational features. Our formatter respects PostgreSQL-specific operators like :: for type casting and handling of sophisticated JSONB functions.
  • MySQL / MariaDB: The most popular open-source databases. We handle MySQL's unique backtick ` identifier quoting and specific function syntaxes that differ from standard SQL.
  • T-SQL (Microsoft SQL Server): Requires specialized handling for bracketed identifiers [column] and unique procedural extensions like cross-apply and outer-apply.
  • PL/SQL (Oracle): A robust procedural extension. Formatting Oracle SQL requires handling semicolon-heavy blocks and specific keyword interactions used in enterprise-scale systems.
  • BigQuery Standard SQL: Cloud-native SQL from Google that introduces arrays, structs, and specific backtick-quoted project/dataset scoping.

Best Practices for Writing Maintainable SQL

Beyond simply running a formatter, professional developers follow specific patterns to ensure their SQL scripts remain maintainable over years of growth:

1. Semantic Keyword Capitalization

A widely accepted convention is to uppercase all SQL keywords (SELECT, FROM, JOIN, WHERE, GROUP BY, ORDER BY) while keeping table and column names in lowercase. Helpfully, this creates a visual contrast that allows the eye to skip to the data structures quickly while understanding the query intent through the bolded keywords.

2. Radical Indentation for Clarity

Indentation should be used to expose the hierarchy of the query. For example, every JOIN should be indented under the FROM clause, and every filter condition under the WHERE clause. Our tool automates this, allowing you to choose between 2-space, 4-space, or tabbed indentation styles.

3. The Power of Common Table Expressions (CTEs)

Modern SQL developers prefer using the WITH clause (CTEs) over deeply nested subqueries. CTEs allow you to break down complex logic into small, named, logical units that can be tested and read in a linear fashion. Instead of reading a query "inside out," you read it from top to bottom. Our formatter provides extra newline spacing between CTEs to emphasize this logical flow.

Security and Privacy First

We understand that SQL queries often contain sensitive database schemas or logic. That's why Pretty Format processes everything locally. Your SQL strings never leave your browser, providing 100% privacy and making it safe to use even with queries containing production data identifiers or internal business logic.

How This Tool Works Under the Hood

The formatting itself is done by sql-formatter, an open-source library that tokenizes SQL rather than relying on Regular Expressions — which is why it doesn't break on nested parentheses or a comma inside a function call the way a naive find-and-replace formatter would. This page adds the dialect selector, the editing UI, and the compact-mode post-processing on top of it.

The formatting process is configurable. You can adjust the expression width (the number of characters before a line wrap is triggered) and the dense operator setting, which controls whitespace around arithmetic and logical operators. Everything runs in your browser, so there's no server round trip between typing and seeing the formatted result.

SQL Formatting FAQ

Does formatting impact performance?▼

Absolutely not. Database engines have their own internal parsers that strip out all whitespace and normalization before executing the query. Formatting is purely for the benefit of developers during writing, debugging, and code reviews.

Can I use this for non-SELECT queries?▼

Yes! Our formatter supports INSERT, UPDATE, DELETE, and even DDL statements like CREATE TABLE or ALTER TABLE.

Frequently Asked Questions

Is my SQL data sent to a server?

No. All formatting happens locally in your browser. Your SQL queries never leave your machine.

Which SQL dialects are supported?

PostgreSQL, MySQL, MariaDB, SQL Server (T-SQL), Oracle (PL/SQL), SQLite, BigQuery, Snowflake, Amazon Redshift, IBM Db2, Spark SQL, Apache Hive, Trino, DuckDB and SingleStoreDB, plus a standard SQL mode for anything else.

Is this tool free to use?

Yes, SQL Formatter is and will always be free to use for everyone.

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