PostgreSQL to MySQL conversion and synchronization.

Reasons to migrate from PostgreSQL to MySQL?

Migrating from PostgreSQL to MySQL is a common scenario for many companies, particularly when looking to move from a completely open-source database to a more commercial one.

  • Need for more support and commercial-level features, including performance and scalability enhancements, improved security, and technical support.
  • Maintained and developed by the company Oracle.
  • Widely used in production environments.
  • More widely adopted and has a larger community of users, which can make finding solutions to problems or getting help with the database easier.
  • May offer better compatibility with other technologies and tools that the organization is already using, making the overall technology stack easier to manage.

Converting a PostgreSQL database to MySQL manually can be a complex and time-consuming process, which is why using a tool such as DBConvert can be helpful. DBConvert is a powerful and user-friendly tool that automates the process of converting a PostgreSQL database to MySQL.

With DBConvert, you can easily transfer data from PostgreSQL to MySQL, including tables, indices, views, triggers, and stored procedures. The tool supports various data types and can handle complex data structures, including nested tables and foreign key constraints.

In addition to the data migration process, DBSync for PostgreSQL and MySQL also allows you to synchronize the schema and data between the two databases, making it easy to keep the two databases in sync as changes are made.

In any combination, using our PostgreSQL to MySQL converters, data migrations between the following databases are possible:

Parallel migration.

The new parallel migration engine of DBConvert takes full advantage of modern multi-core processors. That speeds up data migration between MySQL and Postgres databases by splitting tables into multiple parts and processing them in parallel.

DBConvert Streams.

DBConvert Streams is a powerful, flexible software solution that converts heterogeneous databases and facilitates real-time Change Data Capture (CDC) data replication.

This preview version of DBConvert Streams is free, allowing users to explore its capabilities and benefits. The cross-platform and cloud-first software enables seamless execution across different operating systems and cloud environments. It can also be efficiently run in a Docker container, providing a convenient and scalable deployment option.

With its blazingly fast performance, DBConvert Streams excels in data transfer speed. For example, it can transfer 10 million records in approximately 30 seconds, showcasing its high efficiency. Moreover, it took about 6 minutes to copy 100 million records from the source to the target database, further demonstrating its impressive performance.

Its event-driven replication feature supports MySQL and PostgreSQL databases, making it an ideal tool for data integration and streaming across distributed platforms.

For further information, please refer to the DBConvert Streams documentation available at

Supported databases:
  • MySQL
  • PostgreSQL
  • MariaDB
  • SingleStore DB (formerly MemSQL)
  • TiDB
  • Percona Server for MySQL
  • Vitess
  • CockroachDB
  • Amazon RDS for MySQL
  • Amazon RDS for PostgreSQL
  • Amazon Aurora (MySQL Compatible)
  • Amazon Aurora (PostgreSQL Compatible)
  • Heroku Postgres
  • Azure Database for MySQL
  • Azure Database for PostgreSQL
  • Google Cloud
  • PostgreSQL Dump
  • PostgreSQL PHP Script
  • MySQL Dump
  • MySQL PHP Script
 DBConvert for MySQL & PostgreSQL

Version: 4.4.0

Release Date: June 13, 2024

 DBSync for MySQL & PostgreSQL

Version: 3.8.8

Release Date: May 1, 2024

Try All-in-one DB migration and Sync software.

DBConvert Studio

 Version: 4.1.0

Release Date: July 3, 2024

Supported databases:

  • SQL Server
  • MySQL
  • MariaDB
  • Percona
  • Oracle
  • PostgreSQL
  • Access
  • FoxPro
  • SQLite
  • Interbase
  • Firebird
  • IBM DB2
  • MS Azure SQL
  • Amazon RDS
  • Amazon Aurora
  • Heroku Postgres
  • Google Cloud

Using PostgreSQL to MySQL conversion and synchronization tools.

When launching the DBConvert or DBSync application in GUI mode, it seamlessly guides you through the steps to initiate database migration or synchronization:

1. Connect to PostgreSQL source database.

Specify the username/password and host/port parameters if your source database requires login credentials.

Connect to PostgreSQL source database from DBConvert

2. Connect to MySQL destination database.

Specify parameters for the destination database similar to the source, defining connection settings and username/password pairs.

Connect to MySQL target database from DBConvert

NOTE #1: Each DBConvert or DBSync tool's name comprises two different databases, enabling any specified database to operate as the source or destination. Furthermore, the same type of database can function as both the source and destination.

NOTE #2: Connections to cloud databases (e.g., Amazon RDS, Google Cloud, or Azure SQL) aren't explicitly specified in the user interface but use the same settings as traditional on-premises databases.

NOTE #3: Connections to source and target databases remain active until you close the DBConvert/DBSync application or reopen new connections.

Refer to our documentation for specific source/ destination configurations for different databases.

3. Configure database migration options.

Specify the tables, fields, indices, and views you want to transfer to the MySQL destination database by checking/unchecking the corresponding boxes.

Customize general database/ tables settings. Or configure specific table , field, index object individually when migrating data.

Explore our articles in the user's manual about Configuring database migration options. for detailed information.

The screenshot below summarizes the general features available in DBConvert software.

4. Detection of potential database migration issues. Errors and Warnings

The database enforces certain relations on the data, and on the customization step, an intelligent error checker verifies all possible data integrity and referential integrity issues. It highlights any problems before migration starts.

By default, DBConvert attempts to automatically map the database types of the source PostgreSQL database to the closest equivalent of the target MySQL database types. However, you can manually change the data types for the entire database globally using the "Global mapping" or individually for each field.

Explore the Intelligent error checker for more information. on errors and warnings

5. Execution. The final stage of data migration.

Initiate the conversion or synchronization process after configuring source and destination databases in the previous steps.

Click the "Commit" button to start conversion. Here, you can also monitor the migration/synchronization process.

Optionally save connection settings and configuration parameters into the session file to schedule the launching of sync or migration jobs regularly.

Execution step of DBConvert products

Explore more about the options available during the execution stage

Command line mode

Pass previously saved sessions as parameters to the Command-Line DBConvert Client. A session retains PostgreSQL source and MySQL target database connection settings with other specified options.


C:\Program Files\DBConvert\mysql2postgresqlPro\mysql2postgresqlPro_Cons.exe /Session:"Session_Name"

NOTE: First, run the software in GUI mode to create a session file with initial parameters.

Built-in scheduler.

Our applications include a built-in scheduler to run database migration and sync jobs at specified times. Set the scheduled date and time to execute job sessions automatically.

Find more Information about the built-in scheduler

DBConvert screenshot

Supported OS:


  • Necessary privileges to write into database on the target PostgreSQL server (this requirement is optional as there is an option to overcome the restrictions using dump file or PHP Script)
  • Necessary privileges to write into database on the target MySQL server (this requirement is optional as there is an option to overcome the restrictions using dump file or PHP Script)


Explore details regarding reverse migration.