JSON to SQL Converter
Convert your JSON data into SQL INSERT statements
Converting...
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Convert your JSON data into SQL INSERT statements
Our online JSON to SQL converter makes it easy to transform your JSON data into SQL statements. Follow these simple steps:
SQL (Structured Query Language) is the standard language for managing and manipulating relational databases. It allows you to:
Converting JSON to SQL is essential when you need to import API data into a database system, migrate data between systems, or prepare data for web applications and enterprise software.
While JSON is excellent for data exchange and representing complex structures, it's not designed to function as a true database. Converting JSON to SQL allows you to leverage the strengths of both formats: JSON for data exchange and SQL databases for storage, retrieval, and application integration.
[
{
"id": 1,
"name": "John Smith",
"email": "john @example.com",
"joinDate": "2023-01-15",
"active": true
},
{
"id": 2,
"name": "Jane Doe",
"email": "jane @example.com",
"joinDate": "2023-02-20",
"active": true
},
{
"id": 3,
"name": "Bob Johnson",
"email": "bob @example.com",
"joinDate": "2023-03-10",
"active": false
}
]CREATE TABLE `users` (
`id` INT AUTO_INCREMENT PRIMARY KEY,
`name` VARCHAR(255),
`email` VARCHAR(255),
`joinDate` DATE,
`active` BOOLEAN
);
INSERT INTO `users` (`name`, `email`, `joinDate`, `active`) VALUES ('John Smith', 'john @example.com', '2023-01-15', 1);
INSERT INTO `users` (`name`, `email`, `joinDate`, `active`) VALUES ('Jane Doe', 'jane @example.com', '2023-02-20', 1);
INSERT INTO `users` (`name`, `email`, `joinDate`, `active`) VALUES ('Bob Johnson', 'bob @example.com', '2023-03-10', 0);Import data from web APIs and services into your SQL database for analysis and reporting.
Quickly populate your application's database with initial data during development or testing phases.
Transfer data from NoSQL databases or JSON-based systems to relational databases.
Integrate JSON data with BI tools that require SQL-compatible data sources for dashboards and reports.
Yes, our JSON to SQL converter is designed with your privacy and security in mind:
While our tool is safe to use, we recommend reviewing the generated SQL before executing it in your production database to ensure it meets your requirements.
Our converter supports standard JSON files with arrays of objects. Both single objects and arrays of objects are supported.
Yes, the maximum file size is 10MB to ensure optimal performance and processing time.
Nested JSON objects are flattened in the SQL output, with property names combined using underscores (e.g., "address.city" becomes "address_city").
The generated SQL is compatible with most SQL database systems including MySQL, PostgreSQL, SQL Server, Oracle, and SQLite.
Yes, you can configure column names and data types to match your specific database requirements before generating the SQL.