SQL Server to JSON Exporter | Withdata DBToFile

Why Choose DBToFile for SQL Server to JSON?

• ✅ Cross-Platform Support: Windows, Linux & macOS
• ✅ Two Modes: GUI + CLI for automation
• ✅ Blazing Fast: Millions of rows in minutes
• ✅ 100% Local & Secure
• ✅ JSON, JSON Array, JSONL Support
• ✅ Dynamic Filenames with Date/Time
• ✅ Full Customization & Batch Export

What You Can Export to JSON

1. Export Single SQL Server Table to JSON

Convert any SQL Server table to clean JSON with preview, column mapping, and encoding rules. 📷

2. Export SQL Server Query Results to JSON

Run custom SQL queries and export filtered results directly to JSON. 📷

3. Batch Export SQL Server Tables to JSON Files

Export multiple tables to individual JSON files in one operation. 📷

4. Merge Similar SQL Server Tables to One JSON

Combine structurally similar tables into a single JSON file. 📷

5. SQL Server to JSON Array

Export data as a formatted JSON array for API and application integration. 📷

6. SQL Server to JSONL (NDJSON/LDJSON)

Newline-delimited JSON output ideal for big data and stream processing. 📷

7. Dynamic Filenames with Current Date

Auto-generate filenames with timestamp: sales_#yyyy#_#mm#_#dd#.json 📷

Step-by-Step SQL Server to JSON (GUI Mode)

Step 1: Connect to Your SQL Server Database

Select SQL Server as the database type, enter your SQL Server server, port, username, password, and target database (support Windows/SQL Server authentication), and connect. 📷

Step 2: Choose Your Export Type

Table 📷, Query 📷, Batch All Tables 📷, or Merge Similar Tables 📷

Step 3: Customize JSON Output

Set format (JSON / JSON Array / JSONL), filename (static/dynamic), encoding, columns, and date formats. 📷

Step 4: Export & View

Click Start Convert, view real-time progress, and open the JSON file instantly. 📷

CLI Mode for Automation & Scheduled Tasks

Save GUI settings as a session, then run via script for fully automated exports. 📷

Automate exports with command-line mode for cron jobs or Windows Task Scheduler:

Key Features & Customization

• JSON Array with custom root name
• ISO 8601 & custom date/time formatting
• Rename, exclude, and reorder columns
• Error logging and export statistics
• Bulk processing with low resource usage
• Preserve null values, Unicode, and special characters

FAQ

How long does it take to export SQL Server to JSON?

100,000 rows in seconds; millions of rows in minutes.

What SQL Server versions does DBToFile support?

DBToFile support SQL Server 2000, 2005, 2008, 2008 R2, 2014, 2016, 2017, 2019, 2022, 2025.

Can I export on Linux or macOS?

Yes, native builds for all major operating systems.

Is my data secure?

All conversions run locally — no data is uploaded to any server.

How to use dynamic filenames?

Use tags: #yyyy#, #mm#, #dd#, #hh#, #mi#, #ss#.

Does it support JSONL?

Yes, select JSON Lines as the target format.