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AWS DMS and Types of Database Migrations When databases have to be migrated securely to AWS, the preferred option is to use the Database Migration Service (DMS) of AWS. The main advantage is that the database at source remains fully functional during migration, eliminating the need for downtime.
So, how does AWS DMS work?AWS DMS facilitates data migration from the most used commercial and open-source databases. It supports both homogeneous and heterogeneous migrations and can continuously replicate data with high availability and combine databases into a large petascale data warehouse. Data can also be streamed to Amazon Aurora, Amazon DynamoDB, and Amazon Redshift.
Types of Database Migrations with AWS DMS The first is Homogeneous Database Migration and how does AWS DMS workhere?Both the target database engines and those at source are compatible. It is a one-step process as all parameters like schema structure, data types, and database codes match each other. Examples of this migration type include Oracle to Amazon RDS for Oracle, MySQL to Amazon Aurora, MySQL to Amazon RDS for MySQL, or Microsoft SQL Server to Amazon RDS for SQL Server.
The second is Heterogeneous Database Migration and how does AWS DMS work for this type? The database engines at source and target are different here and hence, data types, database codes, and schema structure have to be inputted separately. Use the AWS Schema Conversion Tool to convert the source code and schema to match that of the target database and then use the AWS DMS to migrate data from the source to the target database. Examples include Oracle to Amazon Aurora, Oracle to PostgreSQL, or Microsoft SQL Server to MySQL migrations. This is how AWS DMS works.