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MySQL to PostgreSQL Converter - Free Online Tool 2025 | AI2sql
MySQL to PostgreSQL Converter - Free Online Tool 2025
Transitioning from MySQL to PostgreSQL is a critical step for teams seeking advanced features, better standards compliance, and open-source flexibility. Yet, converting MySQL databases to PostgreSQL is far from straightforward: differences in SQL dialects, data types, index definitions, and function syntaxes can introduce subtle errors and major compatibility roadblocks. Manual conversion can be tedious, error-prone, and slow, especially when dealing with production environments.
AI2sql turns complex MySQL-to-PostgreSQL migration into a seamless process—use simple English prompts and let AI2sql generate correct, optimized PostgreSQL queries tailored for your target schema. Skip manual rewrites and eliminate conversion errors with a platform trusted by 50,000+ developers for cross-database migrations.
MySQL to PostgreSQL Migration Overview
MySQL and PostgreSQL are both leading open-source RDBMS, but their syntactic differences and feature sets can make direct migration difficult. Developers often face mismatched data types, incompatible functions, and non-standard SQL structures. A streamlined migration involves careful data type mapping, adapting schema definitions, and reworking procedural code—all while ensuring performance and data integrity.
Key Syntax Differences: MySQL vs PostgreSQL
Operation | MySQL Syntax | PostgreSQL Syntax |
---|---|---|
String Concatenation |
|
|
Auto Increment |
|
|
Limit & Offset |
|
|
IFNULL Function |
|
|
Show Tables |
|
|
Data Type Mapping Guide
MySQL Data Type | PostgreSQL Equivalent |
---|---|
INT | INTEGER |
BIGINT | BIGINT |
VARCHAR(n) | VARCHAR(n) |
TEXT | TEXT |
DATETIME | TIMESTAMP |
BIT | BOOLEAN |
AUTO_INCREMENT | SERIAL |
ENUM | Use |
Common Conversion Challenges
Data Type Mismatches: MySQL's
TINYINT(1)
often used as Boolean, while PostgreSQL hasBOOLEAN
type.Reserved Keywords: MySQL code using unquoted keywords (e.g.,
user
,order
) can break in PostgreSQL without quotes.Function Differences: String and date functions often differ or have no direct equivalents.
Auto Increment Differences:
AUTO_INCREMENT
vsSERIAL
/GENERATED
columns.Case Sensitivity: PostgreSQL treats unquoted identifiers as lowercase, MySQL is case-insensitive by default.
Migration Tools Gaps: Many open-source tools only support partial conversion, requiring manual adjustments.
Step-by-Step Migration Process
Assess Database Features: Check MySQL-specific features or extensions used in your existing schema.
Schema Conversion: Export MySQL
CREATE TABLE
statements and convert syntax (data types, constraints, keys).Data Migration: Use
mysqldump
or ETL tools for exporting/importing data. Watch for encoding and NULL handling differences.Function & View Translation: Convert MySQL stored procedures, views, and triggers to PostgreSQL-compatible equivalents.
Testing & Validation: Verify schema integrity, data consistency, and query correctness in PostgreSQL.
Performance Tuning: Optimize indexes, constraints, and vacuum/analyze settings in PostgreSQL.
AI2sql: Generate PostgreSQL Queries from Natural Language
Manual conversion is slow and error-prone—especially for complex queries or large schemas. AI2sql lets you describe the query in plain English and immediately generates database-specific SQL for PostgreSQL with full MySQL-to-PostgreSQL compatibility. Supports all databases, requires zero SQL syntax knowledge, and delivers production-ready code instantly—trusted by developers and data teams worldwide. Learn more on the AI2sql platform.
MySQL to PostgreSQL Conversion Examples
MySQL | PostgreSQL | Description |
---|---|---|
String concatenation changes from | ||
| ||
| ||
LIMIT with OFFSET syntax conversion | ||
|
Performance Considerations
Leverage PostgreSQL-specific indexing (GIN, GiST, BRIN) to boost search speed for complex data types.
Review query execution plans; PostgreSQL's optimizer differs from MySQL and may benefit from re-tuned indexes and rewritten joins.
Use batch or COPY insertion for large data sets for faster migration vs individual INSERTs.
Monitor transaction IDs and vacuum regularly for optimal performance and disk usage.
Schema Migration Best Practices
Explicitly define data types and NOT NULL constraints in your PostgreSQL schema.
Handle MySQL's ENUMs and SETs with PostgreSQL CHECK constraints or referenced tables.
Translate foreign keys and unique constraints carefully—syntax differs between systems.
Take advantage of PostgreSQL's advanced features: custom types, array columns, and composite keys for future-proofed models.
Testing and Validation
Run sample queries and cross-compare results between MySQL and PostgreSQL.
Use checksums or record counts to ensure data integrity post-migration.
Test application layer compatibility—some ORMs require syntax tweaks for PostgreSQL.
Rollback Strategies
Keep backups of both schemas and data before starting migration.
Use transactional DDL where supported, or wrap critical steps in explicit savepoints.
Develop a clear fallback plan for reverting applications to MySQL in case of migration issues.
Troubleshooting Common Conversion Errors
Identifier Case Errors: Add quotes for mixed-case or reserved word identifiers.
Syntax Errors: Review auto-generated SQL carefully—functions like
NOW()
andCURDATE()
are supported differently.Date or Timestamp Issues: Adjust date/time formats to PostgreSQL standards, account for timezone differences.
Unsupported Features: Some MySQL-specific features (e.g.,
ON UPDATE CURRENT_TIMESTAMP
) require custom triggers in PostgreSQL.
Skip manual conversion - Generate PostgreSQL queries instantly with AI2sql using natural language.
Why Choose AI2sql for MySQL to PostgreSQL Migration?
Error-free SQL generation: Converts tricky functions, joins, constraints, and more in one click.
Supports all major SQL dialects: Including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, and more.
No syntax knowledge required: Focus on your data logic; let AI2sql handle translation details.
Instant results: Go from English description to valid PostgreSQL SQL in seconds.
Enterprise-grade accuracy: Trusted by over 50,000 developers globally.
Ready to simplify your MySQL to PostgreSQL migration? Minimize downtime and reduce conversion risk with AI2sql—the intelligent SQL generator built for seamless, cross-database transformation.
Try AI2sql Free - Generate PostgreSQL Queries from Plain English
Further resources:
PostgreSQL SQL Tutorial
MySQL Migration Tools
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