Format, Beautify &
Construct SQL QueriesWithout Friction.
A precision-engineered developer suite for relational databases. Format raw ORM statements across PostgreSQL, MySQL, and SQLite with token-perfect dialect compliance, or visually compose complex SQL queries with zero syntax errors — entirely in your browser memory.
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SELECT customer_id, SUM(amount) AS total_spent
FROM orders
WHERE status = 'completed'
GROUP BY customer_id
)
SELECT c.name, r.total_spent
FROM monthly_revenue r
JOIN customers c ON c.id = r.customer_id;
Specialized Database & SQL Tools
Choose a dedicated utility designed specifically for query beautification, minification diffs, or visual relational query generation.
SQL Formatter & Minifier
Format, beautify, and minify complex queries across PostgreSQL, MySQL, SQLite, T-SQL, and Oracle. Features keyword case normalization, tabular alignment, and line-by-line diff tracking.
- Formats nested subqueries, Common Table Expressions (CTEs), and complex JOIN hierarchies
- Safely preserves database optimizer hints (/*+ ... */) and prepared placeholders (?, $1, :id)
- One-click minification, right-justified tabular keyword alignment, and line diff comparison
SQL Query Builder
Construct ANSI-compliant SELECT, INSERT, UPDATE, and DELETE queries through an interactive visual canvas. Chain multi-table JOINs, configure WHERE filters, and prevent accidental data wipes.
- Visually build SELECT, INSERT, UPDATE, and DELETE statements with automatic type quoting
- Chain INNER, LEFT, RIGHT, FULL, and CROSS JOINs with automated ON condition bindings
- Enforced safety lock on unscoped DELETE wipes & proactive warning on unscoped UPDATEs
Seamless SQL Development Pipeline
From visual query composition to dialect-compliant code review and production-ready minified embeddings.
Visual Query Composition
Assemble complex multi-table joins, conditional predicates, and data aggregations via the SQL Query Builder without risking manual syntax or quoting errors.
Standardize & Format
Paste generated or raw ORM statements into the SQL Formatter to enforce uppercase keyword conventions, align tabular columns, and generate clean Git diffs for team reviews.
Compress & Embed
Switch to single-line minification to strip unnecessary whitespace and comments while protecting execution planner hints, preparing ultra-compact strings for API endpoints and migrations.
Capability Matrix & Dialect Support
Compare parsing engines, formatting options, and statement generation across our database utility suite.
| Specification / Capability | SQL Formatter & Minifier | SQL Query Builder |
|---|---|---|
| Core Objective & Target | Dialect-Aware Formatting & Normalization | No-Code Visual Statement Assembly & Composition |
| Dialects & Standards Support | 12 dialects: PostgreSQL, MySQL, SQLite, T-SQL, PL/SQL, Snowflake, BigQuery, MariaDB, ClickHouse, Redshift, DuckDB, ANSI | Standard ANSI SQL Compatible with Major RDBMS |
| Statement & Mutation Types | All DDL, DML, DQL (SELECT, INSERT, UPDATE, DELETE, CREATE) | Structured SELECT, INSERT, UPDATE, and DELETE DML |
| Clause & Grammar Scope | Nested CTEs (WITH), Subqueries, Window Functions & Hints | Multi-table JOINs (5 types), WHERE, GROUP BY, HAVING, ORDER BY |
| Safety & Guardrails | Preserves optimizer hints (/*+ ... */) and parameters ($1, ?, :id) | Hard lock on unscoped DELETE (requires WHERE) & unscoped UPDATE warning |
| Preview & Inspection Modes | Line-by-line unified LCS Diff viewer, Tabular alignment, 1-click Minify | Reactive live SQL preview pane with 1-click copy & .sql export |
| Data Privacy & Security | 100% In-Browser (Zero Server Egress, No DB Connection) | 100% In-Browser (Zero Server Egress, Schema Stays Local) |
| Engine Performance & Speed | Fast in-browser parsing for large SQL scripts | Real-time reactive preview during visual clause configuration |
Battle-Tested SQL Query Blueprints
Production-ready SQL architectural templates for Common Table Expressions, UPSERT operations, and paginated aggregations.
Safe UPSERT / ON CONFLICT
PostgreSQL / SQLiteAtomic record insertion with fallback field updates on primary or unique key collision.
INSERT INTO user_preferences (user_id, theme, notifications, updated_at)
VALUES (1042, 'dark', true, CURRENT_TIMESTAMP)
ON CONFLICT (user_id)
DO UPDATE SET
theme = EXCLUDED.theme,
notifications = EXCLUDED.notifications,
updated_at = CURRENT_TIMESTAMP;Paginated Window Ranking
ANSI / PostgreSQL / MySQL 8+Partitioned ranking with ROW_NUMBER() to isolate the top records per category without subquery loops.
WITH ranked_products AS (
SELECT
id, title, category_id, price,
ROW_NUMBER() OVER (PARTITION BY category_id ORDER BY price DESC) AS rank_in_category
FROM products
WHERE status = 'published'
)
SELECT * FROM ranked_products
WHERE rank_in_category <= 3
ORDER BY category_id, rank_in_category;Multi-Table Aggregation CTE
Universal ANSI SQLClean Common Table Expression grouping secondary metrics before joining to main dimension tables.
WITH order_summary AS (
SELECT
customer_id,
COUNT(id) AS order_count,
SUM(total_amount) AS lifetime_value
FROM orders
WHERE payment_status = 'settled'
GROUP BY customer_id
)
SELECT c.id, c.full_name, c.email, s.order_count, s.lifetime_value
FROM customers c
INNER JOIN order_summary s ON s.customer_id = c.id
WHERE s.lifetime_value >= 1000.00
ORDER BY s.lifetime_value DESC;Related Developer Toolkits
Essential companion tool suites for structured data payloads, API networking, and data encoding.
Zero Database Connection & Schema Isolation Guarantee
Client-Side VerifiedAll SQL formatting, minification, and visual query building run 100% client-side inside your browser's memory sandbox. CodeKivo never establishes external connections to your database instances, and your proprietary table schemas, column definitions, index structures, and business-critical query logic never touch any remote server.