Beautify PostgreSQL, MySQL, SQLite, Oracle, and T-SQL queries with keyword capitalization and subquery indentation.
SQL (Structured Query Language) is the global standard declarative database query language used to create, query, update, and manage relational database management systems (RDBMS) including PostgreSQL, MySQL, MariaDB, SQLite, Microsoft SQL Server (T-SQL), and Oracle Database.
Raw SQL queries logged from ORMs (such as Prisma, Drizzle, Hibernate, or Entity Framework) or captured from slow query logs often appear as unformatted single-line strings. Formatting SQL query syntax standardizes clause capitalization (SELECT, FROM, JOIN, WHERE, GROUP BY, HAVING), indents nested subqueries and CTE expressions, and greatly accelerates database query optimization.
Clean SQL formatting separates data definition (DDL), data manipulation (DML), and data query (DQL) statements logically. Proper formatting makes multi-table INNER, LEFT, and FULL OUTER JOIN conditions transparent, making it easier to detect missing index filters or Cartesian product bugs.
SELECT
u.id AS user_id,
u.username,
u.email,
COUNT(o.id) AS total_orders,
COALESCE(SUM(o.total_amount), 0.00) AS lifetime_value
FROM users AS u
LEFT JOIN orders AS o ON u.id = o.user_id AND o.status = 'completed'
WHERE u.created_at >= '2026-01-01'
GROUP BY u.id, u.username, u.email
HAVING COUNT(o.id) > 5
ORDER BY lifetime_value DESC
LIMIT 50;
SQL databases are relational, schema-enforced, table-structured, and support complex ACID transactions and JOINs. NoSQL databases are document or key-value stores optimized for horizontal scaling and flexible schema structures.
CTEs are temporary named result sets defined using the `WITH` clause that simplify complex nested queries and can be referenced multiple times within a primary query.
While query execution engines optimize SQL identically regardless of whitespace, clean query formatting helps database administrators spot missing JOIN conditions, unindexed WHERE filters, and subquery bottlenecks easily.