Which solution will meet these requirements?
Migrate the SQL Server databases to Amazon RDS for MySQL by using backup and restore utilities.
Use an AWS Snowball Edge Storage Optimized device to transfer data to Amazon S3. Set up Amazon RDS for MySQL. Use S3 integration with SQL Server features, such as BULK INSERT.
Use the AWS Schema Conversion Tool to translate the database schema to Amazon RDS for MeSQL. Then use AWS Database Migration Service (AWS DMS) to migrate the data from on-premises databases to Amazon RDS.
Use AWS DataSync to migrate data over the network between on-premises storage and Amazon S3. Set up Amazon RDS for MySQL. Use S3 integration with SQL Server features, such as BULK INSERT.
Explanations:
Migrating SQL Server databases directly to Amazon RDS for MySQL using backup and restore utilities is not feasible because SQL Server databases cannot be directly restored into MySQL. Additionally, this approach does not address the complexities of schema conversion and data type differences between SQL Server and MySQL.
While AWS Snowball can transfer large amounts of data to Amazon S3, the approach of using S3 integration with SQL Server features like BULK INSERT assumes that the data has already been prepared and does not address the necessary schema translation and migration of ongoing data changes, which can complicate the migration process.
This solution is valid as it utilizes the AWS Schema Conversion Tool (AWS SCT) to handle the differences in database schema between SQL Server and MySQL. After schema conversion, AWS Database Migration Service (AWS DMS) can be used to migrate data with minimal downtime, effectively managing the heterogeneous migration.
AWS DataSync is used for transferring large amounts of data, but this option does not provide a clear method for handling the schema conversion from SQL Server to MySQL. Additionally, it relies on using S3 and BULK INSERT, which does not facilitate a direct migration of the operational database with ongoing changes effectively.