MySQL
IBM DB2

MySQL to IBM DB2 Converter

Move MySQL-family databases into an IBM Db2 schema with type mapping review, saved sessions, and optional DBSync staging.

MySQL → IBM Db2 is usually an IBM-platform consolidation move: MySQL, MariaDB, Percona, Amazon RDS, Aurora, Azure Database for MySQL, or Google Cloud SQL tables are loaded into a Db2 schema.

The table copy is not the hard part by itself. The target policy has to cover MySQL-specific data types, generated keys, character sets, placeholder dates, views, and stored routines that do not run unchanged in Db2 SQL.


What DBConvert does on this path: handles MySQL → Db2 as a repeatable desktop workflow:

  • Connects to MySQL-family sources, including MariaDB, Percona, Amazon RDS / Aurora, Azure Database for MySQL, and Google Cloud SQL.
  • Connects to the Db2 target through IBM Data Server Client libraries and lets you choose the destination schema.
  • Creates Db2-compatible tables and moves rows, indexes, relationships, and supported views with type-mapping review.
  • Saves sessions for repeated test loads; DBSync keeps MySQL and Db2 aligned during a staged cutover.

What it does not do: DBConvert does not rewrite MySQL stored procedures, triggers, events, user-defined functions, or application SQL into Db2 SQL PL.

Which tool: DBConvert or DBSync?

DBConvert for MySQL → Db2

One-time migration or repeatable test loads. Use it when Db2 is becoming the target database and you need MySQL schema, table data, indexes, relationships, and supported views moved through a desktop wizard.

DBSync for MySQL ↔ Db2

Staged cutover or recurring synchronization. Use it when MySQL must keep running while Db2 is populated, tested, or gradually becomes the target of record. Review synchronization concepts.

Need more context? Compare DBConvert and DBSync side by side →

How DBConvert handles the MySQL → Db2 differences

DBConvert handles the table-level migration in the wizard: connection, schema selection, type mapping, indexes, supported views, transfer, and validation. MySQL procedural code remains a separate rewrite track.

Connection and schema

DBConvert reads MySQL-family sources and writes the selected objects into the Db2 target schema you choose in the wizard. Db2 connectivity depends on IBM client libraries on the migration workstation.

Type mapping review

MySQL UNSIGNED integers, ENUM, SET, JSON text, blobs, text columns, and date placeholders need a Db2 storage policy before target tables are created.

Generated keys

MySQL AUTO_INCREMENT columns map to Db2 identity or sequence-backed behavior. After import, confirm next values before Db2 starts receiving application writes.

Character data

MySQL deployments often mix collations and character sets. Sample Unicode text, case-sensitive identifiers, long text, and binary columns after the Db2 load.

Application SQL cleanup

MySQL-specific syntax such as backtick identifiers, LIMIT, ON DUPLICATE KEY UPDATE, IFNULL, and date functions needs Db2 SQL review.

Procedural code boundary

DBConvert migrates tables, views, and foreign keys. MySQL procedures, triggers, events, functions, and application SQL are rewritten manually in Db2 SQL PL or the new application layer.

Type mapping checkpoints

MySQL source type Db2 target type Migration note
INT, BIGINT, UNSIGNED INTEGER, BIGINT, DECIMAL policy Unsigned ranges can exceed the signed target range.
AUTO_INCREMENT IDENTITY or sequence-backed key Check next values after the load.
VARCHAR, TEXT, LONGTEXT VARCHAR, CLOB Preserve Unicode text and long values with the right Db2 column type.
ENUM, SET VARCHAR plus validation policy Move the allowed-value rule into constraints or application logic.
DATETIME, TIMESTAMP, zero dates TIMESTAMP or nullable policy Invalid placeholder dates need cleanup before Db2 accepts them.
BLOB, LONGBLOB, JSON BLOB, CLOB / JSON storage policy Sample large rows and JSON-heavy tables after import.

Choosing the MySQL → Db2 route

Most projects need a Db2 target schema, a MySQL data-transfer path, and a separate plan for stored routines or application SQL.

Route Where it fits Where it falls short
DBConvert / DBSync GUI migration, MySQL-family cloud sources, Db2 schema target, type mapping review, saved sessions, or staged synchronization. MySQL stored routines, triggers, events, and application SQL still need manual rewrite.
DBA-led export/import A small set of flat tables can be exported from MySQL and loaded into prebuilt Db2 tables. You own DDL translation, load order, key handling, retries, and validation.
SQL/code conversion specialist The project has a large amount of stored procedure, trigger, or application SQL logic. That solves code translation, not the whole operational data migration.
Custom ETL Db2 is one destination in a broader integration or warehouse pipeline. More control, but more maintenance and less of a focused database-conversion workflow.

Supported versions

  • MySQL 5.x, 8.x; MariaDB; Percona Server
  • Amazon RDS / Aurora MySQL, Azure Database for MySQL, Google Cloud SQL
  • IBM DB2 v9.7 and later

Supported in this path

Source MySQL
Target IBM DB2
MySQL MariaDB Percona Server for MySQL Amazon RDS for MySQL Amazon Aurora MySQL Azure Database for MySQL Google Cloud SQL for MySQL IBM DB2

Using MySQL to IBM DB2 Tools

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

1

Connect to MySQL source database

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

Connect to MySQL source database from DBConvert

MySQL source

Use the MySQL connection guide for local MySQL or MariaDB, or read from Amazon RDS / Aurora for MySQL, Azure Database for MySQL, or Google Cloud SQL for MySQL.

2

Connect to IBM DB2 destination database

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

Connect to IBM DB2 target database from DBConvert

DB2 target

Connect through IBM Data Server Client libraries — pick the destination DB2 schema in the wizard.

Next steps: configure, validate, run

After connecting source and target, the remaining steps are the same for every database pair:

  • Configure migration options - pick tables, fields, indices, views.
  • Issue detection - the built-in checker flags integrity problems before migration starts.
  • Execute - commit the job, monitor progress, save the session for reuse.
  • Schedule and CLI - rerun saved sessions on a schedule or from the command line.
Open the full guide

Steps 3-5, software features, command-line mode, scheduler, and system requirements.

See all features