In-Browser Database Toolkit: SQL Formatting, Migrations & Connection Strings
Built for backend engineers, data analysts, and students, these database utilities format SQL, convert between SQL and JSON, generate Prisma, Drizzle, and Python models from schemas, and build or parse connection strings — all inside your browser sandbox with credentials that never leave your device.
1. SQL Formatting Without Round-Trips
Minifiers strip comments and collapse whitespace for compact storage while preserving string literals byte-identical through literal-aware tokenizing. Beautifiers split major clauses onto lines with paren-depth indentation, turning 200-character walls into scannable blocks for code review.
Query diffs normalize both inputs first — comments stripped, whitespace collapsed, keywords uppercased — so formatting-only edits compare equal and reviewers audit logic instead of style.
2. Schema Migration & ORM Generation
CREATE TABLE statements parse into structured column models (types, nullability, primary keys, defaults) that render as Prisma models with @id and @default attributes, Drizzle pgTable/sqliteTable definitions for both dialects, and stdlib Python dataclasses with inferred hints.
JSON fixtures convert both directions: sample payloads become CREATE TABLE plus INSERTs, while existing INSERT dumps parse back into typed JSON arrays for APIs and seed files.
3. Connection Strings & Credential Safety
Builders assemble Postgres, MySQL, MongoDB, and SQLite URIs with automatic percent-encoding of special characters in passwords, while parsers decompose pasted URIs into host, port, user, database, and parameter tables for review.
Because assembly and parsing run locally, production credentials never transit third-party servers — a baseline requirement for credential handling that cloud-based alternatives cannot guarantee.
Featured Database Tools Utilities & Quick Launch
Frequently Asked Questions: Database Tools
Yes. Connection strings assemble and parse entirely in your browser memory. Nothing is transmitted, logged, or stored remotely.
Generators emit portable SQLite/PostgreSQL-compatible SQL with dialect switches for MySQL, SQL Server pagination, and Drizzle targets.
Yes. All processing is local, so pasting production DDL carries no exfiltration risk — though reviewing for embedded secrets first remains good practice.
Prisma, Drizzle (both dialects), and Python dataclass outputs follow current conventions; validate generated models against your toolchain versions before committing.