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MySQL to SQL Server Converter - Free Online Tool 2025 | AI2sql

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MySQL to SQL Server Converter - Free Online Tool 2025 | AI2sql

MySQL to SQL Server Converter - Free Online Tool 2025

Moving your database from MySQL to SQL Server is a critical process for many organizations and developers looking for advanced enterprise features or deeper integration with the Microsoft ecosystem. Manual migration is complex due to syntax differences, incompatible data types, and sheer schema complexity. Even minor mistakes can lead to application downtime, data corruption, or security gaps. AI2sql removes the friction by instantly generating production-ready SQL Server queries from MySQL syntax or plain English, eliminating trial-and-error and saving hours of manual work.

MySQL to SQL Server Migration Overview

The need for a MySQL to SQL Server migration often arises when organizations scale, require robust enterprise features, or need tighter integration with Microsoft tools. However, converting MySQL syntax to SQL Server format goes beyond simple find-and-replace. It requires an understanding of differences in supported data types, reserved keywords, indexing, and procedural syntax. AI2sql leverages AI to bridge these differences, delivering error-free conversions that match SQL Server’s standards.

Key Syntax Differences: MySQL vs SQL Server

Operation

MySQL Syntax

SQL Server Syntax

String Concatenation

CONCAT('A', 'B')

'A' + 'B'

Auto-Increment

AUTO_INCREMENT

IDENTITY(1,1)

Limit Output

SELECT ... LIMIT 10

SELECT TOP 10 ...

If Null Function

IFNULL(a,b)

ISNULL(a,b)

Current Date

NOW()

GETDATE()

Data Type Mapping Guide

  • VARCHAR(n)NVARCHAR(n): Unicode support in SQL Server recommended

  • TEXTNVARCHAR(MAX)

  • INT (MySQL) → INT (SQL Server)

  • DATETIMEDATETIME2: Better precision and range in SQL Server

  • TINYINT(1)BIT: For boolean/flag values

Common Conversion Challenges

  • Auto-increment fields: Use IDENTITY in SQL Server instead of AUTO_INCREMENT.

  • Default values: MySQL allows functions as default values; SQL Server is stricter.

  • Reserved keywords: Names like user or index may require brackets in SQL Server.

  • Function incompatibility: Date/math functions often differ in name and arguments.

  • Index/constraint syntax: Requires rewriting due to different engine behaviors.

Step-by-Step Migration Process

  1. Assess the Source Schema: Inventory data types, indexes, stored routines, triggers.

  2. Map Data Types: Refer to the mapping guide above for correct conversions.

  3. Convert SQL Syntax: Adjust functions, joins, conditionals to SQL Server format.

  4. Migrate Data: Use SSIS, BCP, or other ETL tools for bulk transfer.

  5. Validate & Test: Check data integrity, performance, and application behavior.

AI2sql: Generate SQL Server Queries from Natural Language

AI2sql empowers developers, DBAs, and enterprises to generate SQL Server queries directly from natural language. No more referencing SQL manuals or debugging syntax errors with manual migration. Simply describe the output you want, and AI2sql auto-converts logic, functions, and table structures to SQL Server-compliant queries.

  • No SQL expertise required: Just state your intent in plain English.

  • Error-free: AI-powered mapping eliminates manual errors and edge cases.

  • Supports 15+ database types: Build migration solutions for any stack.

Skip manual conversion - Generate SQL Server queries instantly with AI2sql using natural language.

MySQL to SQL Server Conversion Examples

Description

MySQL Syntax

SQL Server Syntax

Simple SELECT with LIMIT

SELECT * FROM employees LIMIT 5;

SELECT TOP 5 * FROM employees;

Auto-Increment Primary Key

id INT AUTO_INCREMENT PRIMARY KEY

id INT IDENTITY(1,1) PRIMARY KEY

String Concatenation

SELECT CONCAT(first, ' ', last) FROM users;

SELECT first + ' ' + last FROM users;

Current Date

SELECT NOW();

SELECT GETDATE();

Date Add

SELECT DATE_ADD(order_date, INTERVAL 7 DAY) FROM orders;

SELECT DATEADD(DAY, 7, order_date) FROM orders;

Boolean Data Type

is_active TINYINT(1)

is_active BIT

IFNULL Function

SELECT IFNULL(name, 'N/A') FROM people;

SELECT ISNULL(name, 'N/A') FROM people;

Troubleshooting Common Conversion Errors

  • Data truncation warnings: Ensure string length and Unicode compatibility before migration.

  • Missing auto-increment: Confirm use of IDENTITY(1,1) in SQL Server schema.

  • Function incompatibility: Replace or rewrite date/time or string functions per mapping guide.

  • Encoding issues: Migrate data as Unicode (NVARCHAR) to avoid character misreads.

  • Constraint failures: Adjust index and foreign key statements to SQL Server conventions.

Performance Tips for SQL Server Optimization

  • Indexes: Rebuild non-clustered indexes after data load.

  • Batch Inserts: Use BULK INSERT or SSIS in smaller batches to avoid transaction log bloat.

  • Statistics: Update SQL Server statistics for best query execution plans post-migration.

  • Database Recovery Model: Consider SIMPLE recovery during migration for speed, switch to FULL after validation.

  • Query tuning: Review execution plans; MySQL-optimized queries may not perform similarly in SQL Server.

Why Choose AI2sql for MySQL to SQL Server Migration?

  • Used by 50,000+ developers globally

  • Supports seamless migration for 15+ databases

  • No syntax knowledge required: Enter your requirements in plain English

  • Instant, reliable results – save hours per migration project

  • Enterprise-grade accuracy, developer-tested

For a comprehensive solution trusted worldwide, explore the AI2sql platform.

Resources and Next Steps

  • Try AI2sql SQL Server Generator for instant code generation

  • SQL Server SQL Tutorial for in-depth basics and advanced examples

  • MySQL Migration Tools if you need supplementary utilities

Conclusion: Simplify Your MySQL to SQL Server Migration

Manual MySQL to SQL Server migration is fraught with risks — from syntax mismatches to data loss. AI2sql streamlines this process, generating correct, production-ready SQL Server queries from MySQL code or natural language instructions. With robust support for all common database features, error-free conversions, and unparalleled ease of use, AI2sql eliminates the migration bottleneck and accelerates your application modernization.

Ready to eliminate manual conversion forever? Try AI2sql Free - Generate SQL Server Queries from Plain English.

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