SQL Data Bridge
Transform unstructured JSON arrays into relational SQL INSERT statements.
From JSON to Relational Databases
Migrating data from web APIs (JSON) to relational databases like **MySQL, PostgreSQL, or SQL Server** is a common task in modern software engineering. Our **SQL Data Bridge** automates this by mapping JSON keys to database columns and ensuring that data types are properly formatted for SQL execution.
The Relational Mapping Logic
When converting JSON to SQL, the tool follows a strict schema-detection process to ensure compatibility with traditional database engines:
- Column Mapping: The keys from the first object in your JSON array are used to define the `INSERT INTO` columns.
- Data Sanitization: String values are wrapped in single quotes, and internal apostrophes are escaped to prevent SQL syntax errors.
- Null Handling: Empty values or undefined keys are converted to the standard SQL `NULL` value.
- Data Types: Numbers and booleans are kept raw, while complex nested objects are treated as string literals.
SQL Syntax Comparison
While this tool generates standard ANSI SQL, slight variations exist between engines:
| Engine | Identifier Quote |
|---|---|
| MySQL | Backticks (`) |
| PostgreSQL | Double Quotes (") |
| SQLite | Double Quotes (") |
Best Practices for Data Import
Large data migrations require careful handling to maintain database performance and data integrity:
Batch Processing
Instead of running 1,000 separate `INSERT` commands, this tool uses the **Multi-row Insert** syntax. This is significantly faster for the database engine to process in a single transaction.
Schema Validation
Always ensure your table exists before running the output. The column names detected from the JSON must match your existing database table structure exactly.
Escaping & Safety
Our tool handles basic string escaping (e.g., converting `'` to `''`), but for highly sensitive production data, always use prepared statements within your application backend.
Why Client-Side Conversion Matters
Handling database data requires high security. By processing your JSON arrays **entirely within your browser**, your raw data never touches a server. This eliminates the risk of data interception or logging of your sensitive database payloads. Whether you're working on localhost or a remote production server, your data remains private.
Pro Tip: Handling Dates
JSON does not have a native "Date" type. If your JSON contains ISO strings (e.g., "2025-12-29"), this tool will treat them as strings. Most SQL engines (MySQL/Postgres) will automatically cast these to `DATETIME` or `TIMESTAMP` columns upon insertion.
Database Migration Suite © 2025 · ETL Logic Systems