![]() Key benefits of database schema conversionĪmazon Aurora MySQL-Compatible Edition (Aurora MySQL), Amazon Aurora PostgreSQL-Compatible Edition (Aurora PostgreSQL), MariaDB 10. Replicate, synchronize, distribute, consolidate and ingest data across all major databases, data warehouses and Hadoop, on-premises. Once schema conversion is complete, it can help migrate data from a range of data warehouses to Amazon Redshift using built-in data migration agents. ![]() ![]() Any objects that cannot be automatically converted are clearly marked as action items with prescriptive instructions on how to convert, so that they can be manually converted to complete the migration.ĪWS SCT can also scan your application source codes for embedded SQL statements and convert them as part of a database-schema-conversion project. During this process, AWS SCT performs cloud-native code optimization by converting legacy Oracle and SQL Server functions to their equivalent AWS service, helping to modernize the applications at the same time of database migration. Customers have the choice to: 1) log in to the AWS Database Migration Service (AWS DMS) console to initiate the AWS DMS Schema Conversion (DMS SC) workflow for a fully managed experience or 2) download the AWS Schema Conversion Tool (AWS SCT) software to their local drive.īoth options will automatically assess and convert 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. AWS offers two schema conversion solutions to make heterogeneous database migrations predictable, fast, secure, and simple.
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