![]() All the required data type conversions will automatically be done by the Amazon Database Migration Service during the migration. First use the Amazon Schema Conversion Tool to convert the source schema and code to match that of the target database, and then use the Amazon Database Migration Service to migrate data from the source database to the target database. That makes heterogeneous migrations a two-step process. In this case, the schema structure, data types, and database code of source and target databases can be quite different, requiring a schema and code transformation before the data migration starts. In heterogeneous database migrations the source and target databases engines are different, like in the case of Oracle to Amazon Aurora, Oracle to PostgreSQL, or Microsoft SQL Server to MySQL migrations. 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. During this process, SCT performs cloud native code optimization by converting legacy Oracle and SQL Server functions to their equivalent Amazon Web Services service thus helping you modernize the applications at the same time of database migration. SCT can also scan your application source code for embedded SQL statements and convert them as part of a database schema conversion project. ![]() Any objects that cannot be automatically converted are clearly marked so that they can be manually converted to complete the migration. The Amazon Web Services 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. Amazon Database Migration Service can also be used for continuous data replication with high-availability. It also allows you to stream data to Amazon Redshift, Amazon DynamoDB, and Amazon S3 from any of the supported sources, which are Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, SAP ASE, SQL Server, IBM DB2 LUW, and MongoDB, enabling consolidation and easy analysis of data in a petabyte-scale data warehouse. The service supports homogenous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. The Amazon Database Migration Service can migrate your data to and from most widely used commercial and open-source databases. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. Amazon Database Migration Service helps you migrate databases to Amazon Web Services quickly and securely.
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