🏢 SQL Server JSON Converter

JSON to SQL Server Converter

Convert JSON data to T-SQL INSERT statements with JSON_VALUE support.

Table Name

JSON Data

Generate ‘CREATE TABLE’ Use IDENTITY Keys

T-SQL Output

JSON to SQL Server: T-SQL Data Mapping

SQL Server’s native JSON support through JSON_VALUE, JSON_QUERY, and JSON_MODIFY functions enables powerful data extraction from JSON documents. When converting JSON to SQL Server, you can extract individual properties into columns for fast indexing, or store the complete JSON for flexible querying.

T-SQL JSON Functions & Operators

SQL Server provides JSON_VALUE for extracting scalar values, JSON_QUERY for extracting objects/arrays, and JSON_MODIFY for updating JSON. The converter creates computed columns that extract frequently accessed JSON properties, enabling both normalized querying and flexible JSON storage.

Real-World SQL Server JSON Scenarios

API Data: Store API responses as JSON with extracted key fields as columns. Event Logging: Log application events with complete payload as JSON plus structured metadata. Multi-Tenant Data: Store tenant-specific configuration as JSON within standard table structures. Document Management: Store document metadata as JSON with searchable extracted fields.

💡 Pro Tip: Use Computed Columns
After importing JSON, create computed columns to extract frequently queried properties:
ALTER TABLE table ADD email AS JSON_VALUE(data, '$.email') PERSISTED;

SQL Server vs Azure SQL JSON Support

Azure SQL Database fully supports SQL Server’s JSON functions. The generated T-SQL works identically on both on-premises and cloud deployments.

JSON to SQL Server FAQ

Can I query JSON properties without extracting to columns?

Yes! Use JSON_VALUE: SELECT * FROM table WHERE JSON_VALUE(data, '$.status') = 'active'

How do I extract JSON arrays in SQL Server?

Use OPENJSON with CROSS APPLY to expand arrays into rows for proper normalization.

Should I use JSON column or separate columns?

Use JSON columns for flexibility, separate columns for query performance. Computed columns provide both benefits.