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
