The AWS Schema Conversion Tool makes heterogeneous database migrations predictable by automatically converting the source database schema and a majority of the database code objects, including views, stored procedures, and functions, to a format compatible with the target database. Any objects that cannot be automatically converted are clearly marked so that they can be manually converted to complete the migration. SCT can also scan your application source code for embedded SQL statements and convert them as part of a database schema conversion project. During this process, SCT performs cloud native code optimization by converting legacy Oracle and SQL Server functions to their equivalent AWS service thus helping you modernize the applications at the same time of database migration. Once schema conversion is complete, SCT can help migrate data from a range of data warehouses to Amazon Redshift using built-in data migration agents.

The AWS Schema Conversion Tool supports the following conversions -

Source Database Target Database on Amazon RDS
Oracle Database
Amazon Aurora, MySQL, PostgreSQL, Oracle
Oracle Data Warehouse Amazon Redshift
Azure SQL Amazon Aurora, MySQL, PostgreSQL
Microsoft SQL Server Amazon Aurora, Amazon Redshift, MySQL, PostgreSQL
Teradata Amazon Redshift
IBM Netezza Amazon Redshift
Greenplum Amazon Redshift
HPE Vertica Amazon Redshift
MySQL and MariaDB PostgreSQL
PostgreSQL Amazon Aurora, MySQL
Amazon Aurora PostgreSQL
IBM DB2 LUW Amazon Aurora, MySQL, PostgreSQL
Apache Cassandra Amazon DynamoDB

You can download AWS Schema Conversion Tool for your platform of choice from the links below:

Learn more about AWS Database Migration Service pricing

Visit the pricing page