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What is Heterogeneous Database Migration in AWS? A Cheat Sheet!

Are you planning to migrate your database to the AWS cloud and did someone suggest you opt for AWS heterogeneous database migration? You must be wondering what is heterogeneous database migration in AWS and maybe your research about it has landed you on this page. Somehow, you’ve come to the right place as in this article we will precisely learn everything about heterogeneous database migration in AWS, including:

  1. What is Heterogeneous Database Migration?
  2. What tools it makes use of
  3. How it is accomplished
  4. Who can help in accomplishing it?

So, let’s break it all step by step. 

What is Heterogeneous Database Migration?

The migration of a database when the source and the targeted database engines are different is referred to as a Heterogeneous Database Migration. For example, these are heterogeneous database migration when you migrate database from Microsoft SQL Server to MySQL migrations, Oracle to PostgreSQL, or Oracle to Amazon Aurora.

Tools Used for Heterogeneous Database Migrations in AWS

#1: Migration Tool: AWS WQF

AWS Workload Qualification Framework (AWS WQF) is used to analyze enterprise databases, code, third-party dependencies, and frameworks for migrating to the AWS Cloud. It assesses and rates the workload for the entire migration, including database and application modifications. WQF can recommend strategies and tools that you can use for your migration, and provide actionable feedback. It can also identify actions for completing a migration to Amazon RDS or Amazon Aurora. You can use WQF during the planning phase of your migration process to determine what you need to do to migrate your data and applications.

Used For: Pre-migration Analysis

Target Database Support: Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon Aurora MySQL, and Amazon Aurora PostgreSQL.

#2: Migration Tool: AWS SCT

AWS Schema Conversion Tool (AWS SCT) converts your existing commercial database schemas to an open-source engine or to an AWS Cloud-native database. AWS SCT 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 that’s compatible with the target database. Any objects that can’t be automatically converted are clearly marked for manual conversion. AWS SCT can also scan your application source code for embedded SQL statements and convert them as part of a database schema conversion project.

Used For: Schema Conversion

Target Database Support: Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon Aurora MySQL, and Amazon Aurora PostgreSQL.

#3: Migration Tool: AWS DMS

AWS Database Migration Service (AWS DMS) migrates your data rapidly and securely to AWS. During migration, the source database remains fully operational, minimizing application downtime. AWS DMS supports homogenous migrations such as Oracle to Oracle as well as heterogenous migrations between different database platforms, such as Oracle to an open-source database or to an AWS Cloud-native database. AWS DMS manages the complexities of the migration process, including automatically replicating data changes that occur in the source database to the target database. After the database migration is complete, the target database remains synchronized with the source database for as long as you choose, and you can switch over to the target database at a convenient time.

Used For: Data migration

Target Database Support: Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon Aurora MySQL, and Amazon Aurora PostgreSQL.

How the Heterogeneous Database Migration can be accomplished?

There can be a big difference between the database code, data types, and schema structure of the source and target databases, and that you must transform the code and schema before starting the data migration. It makes the heterogeneous migration a two-step process:

Step#1: The first step towards heterogeneous migration of database in AWS involves the conversion of the source schema & code to go with that of the target database. AWS Schema Conversion Tool (SCT) can be used for this conversion.

Step#2: The second step involves the migration of data from the source to the target database. AWS Database Migration Service (DMS) can be used for this process.

The image above is showing the heterogeneous database migration using AWS SCT and AWS DMS.

All the required conversions in data types are automatically handled by AWS DMS during the migration process. You can locate the source database within your premises outside AWS, it can be an Amazon RDS database or a database running on an EC2 instance. The target or the destination database can be in Aurora, Amazon RDS, or Amazon EC2.

Who Can Help You with Your Heterogeneous Database Migration Project?

If you have adequate technical expertise by your side, even you could complete a heterogeneous database migration project yourself. However, in case the project seems challenging to you or you don’t have sufficient resources, you can outsource the migration process to an AWS migration partner. 

Wrapping Up

It is not easy to migrate your database to the cloud, especially if you are doing it for the first time. However, its benefits are greater than the challenges it presents. Moreover, its challenges could be easily made less painful and predictable by gathering all the necessary information and preparing for it diligently before you jump upon the database migration bandwagon. Refrain from taking any shortcuts as that might land you in frequent problems during your first migration.  Hopefully, the article helps you in collecting basic information about the heterogeneous database migration in AWS.

About KeplerWorx

KeplerWorx іѕ thе Consulting partner соmраnу for еntеrрrіѕеѕ mоvіng to the cloud with various solutions including DC/OS, Kubernetes, ECS or just lift and shift model. Helping clients like Axa Gulf, Dubi Cars, Entertainer, and more.

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Post Author: Haris Zaheer Ahmed

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