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Hello Rumman,
Thank you for bringing this up to our attention. I concur with your point that technically, Aurora is part of Amazon RDS, albeit there are some differences between these two database services. Aurora started out as a MySQL and PostgreSQL-compatible relational database engine option for Amazon RDS. Today, it has various features that you won’t see in RDS, such as Aurora Serverless and Amazon Aurora machine learning to name a few.
A few years ago, Amazon S3 and Amazon Glacier were actually two different services but now, Glacier is called “Amazon S3 Glacier” and is considered as part of Amazon S3. This is quite confusing since Amazon S3 Glacier still uses its old Glacier Console that is separate from the S3 Console. This is related to what’s happening here between RDS and Aurora.
Using RDS “could be” the same thing as using Aurora, but definitely NOT entirely.
For example, in this scenario, the application requires an OLTP database (e.g. MySQL) to migrate their on-premises database that has 50 TB of consumer data. You have two options:
1. Go to the RDS Console and launch an Amazon Aurora database with MySQL compatibility
2. Go to the RDS Console and launch an Amazon RDS for MySQL database
For Aurora, it automatically grows as the amount of data in your database increases. However, in RDS, you still have to manually set the maximum storage threshold. Currently, in RDS, the maximum value is 65,536 GiB which is roughly equivalent to 65 TB. Storage Auto Scaling in RDS is not enabled by default, unlike Aurora. Take note that it is stated in the scenario that the database currently has 50 TB of consumer data and is expected to grow.
I hope this answers your question.
Let us know if you need further assistance. The Tutorials Dojo team is dedicated to helping you pass your AWS exam on your first try!
Regards,
Carlo @ TutorialsDojo
