Database Migration Step-by-Step Walkthroughs

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Database Migration Step-by-Step Walkthroughs - Database Migration Guide

Oracle Database Microsoft SQL Server MySQL BigQuery MariaDB MongoDB PostgreSQL SAP ASE

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You can use AWS Database Migration Service (AWS DMS) to migrate your data to and from most widely used commercial and open-source databases such as Oracle, PostgreSQL, Microsoft SQL Server, Amazon Redshift, Amazon Aurora, MariaDB, and MySQL. The service supports homogeneous migrations such as Oracle to Oracle, and also heterogeneous migrations between different database platforms, such as Oracle to MySQL or MySQL to Amazon Aurora MySQL-Compatible Edition. Alternatively, you can use AWS DMS to move from existing, self-managed, open-source, and commercial databases to fully managed AWS databases of the same engine.

You can use DMS Schema Conversion to migrate to a different database engine. This service automatically assesses and converts your source schemas to a new target engine. Alternatively, you can download the AWS Schema Conversion Tool AWS SCT to your local PC to convert your source schemas.

In this guide, you can find step-by-step walkthroughs that go through the process of schema conversion and data migration of the following source databases:

Amazon Web Services (AWS) has several services that allow you to run a MySQL-compatible database on AWS. Amazon Relational Database Service (Amazon RDS) supports MySQL-compatible databases including MySQL, MariaDB, and Amazon Aurora MySQL. Amazon Elastic Compute Cloud (Amazon EC2) provides platforms for running MySQL-compatible databases.

Migrating From Solution

Migrating From	Solution
An RDS for MySQL DB instance	You can migrate data directly from an Amazon RDS for MySQL DB snapshot to an Amazon Aurora MySQL DB cluster. For details, see Migrating Data from an Amazon RDS MySQL DB Instance to an Amazon Aurora MySQL DB Cluster.
A MySQL database external to Amazon RDS	If your database supports the InnoDB or MyISAM tablespaces, you have these options for migrating your data to an Amazon Aurora MySQL DB cluster: You can create a dump of your data using the `mysqldump` utility, and then import that data into an existing Amazon Aurora MySQL DB cluster. You can copy the source files from your database to an Amazon Simple Storage Service (Amazon S3) bucket, and then restore an Amazon Aurora MySQL DB cluster from those files. This option can be considerably faster than migrating data using `mysqldump`. For more information, see Migrating MySQL to Amazon Aurora MySQL by Using mysqldump. However, for very large databases, you can significantly reduce the amount of time that it takes to migrate your data by copying the source files for your database and restoring those files to an Amazon Aurora MySQL DB instance as described in Migrating Data from an External MySQL Database to an Amazon Aurora MySQL Using Amazon S3.
A database that is not MySQL-compatible	You can also use AWS Database Migration Service (AWS DMS) to migrate data from a not MySQL-compatible database. For more information about AWS DMS, see https://docs.aws.amazon.com/dms/latest/userguide/Welcome.html

An RDS for MySQL DB instance

You can migrate data directly from an Amazon RDS for MySQL DB snapshot to an Amazon Aurora MySQL DB cluster. For details, see Migrating Data from an Amazon RDS MySQL DB Instance to an Amazon Aurora MySQL DB Cluster.

A MySQL database external to Amazon RDS

If your database supports the InnoDB or MyISAM tablespaces, you have these options for migrating your data to an Amazon Aurora MySQL DB cluster:

You can create a dump of your data using the mysqldump utility, and then import that data into an existing Amazon Aurora MySQL DB cluster.
You can copy the source files from your database to an Amazon Simple Storage Service (Amazon S3) bucket, and then restore an Amazon Aurora MySQL DB cluster from those files. This option can be considerably faster than migrating data using mysqldump.

For more information, see Migrating MySQL to Amazon Aurora MySQL by Using mysqldump.

However, for very large databases, you can significantly reduce the amount of time that it takes to migrate your data by copying the source files for your database and restoring those files to an Amazon Aurora MySQL DB instance as described in Migrating Data from an External MySQL Database to an Amazon Aurora MySQL Using Amazon S3.

A database that is not MySQL-compatible

You can also use AWS Database Migration Service (AWS DMS) to migrate data from a not MySQL-compatible database. For more information about AWS DMS, see https://docs.aws.amazon.com/dms/latest/userguide/Welcome.html