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Robust, reliable, performant database engine
September 22, 2023

Robust, reliable, performant database engine

David Williams | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Relational Database Service (RDS)

We use Amazon Relational Database Service (RDS) as a back-end database for our applications, both those we consume (as on-prem apps, not SaaS) and those we create for our customers (as a SaaS organisation ourselves). Amazon Relational Database Service (RDS) allows us to manage our databases in a serverless way, with scalability and with Amazon recommendations and management, without the overhead of running a server.
  • Serverless database
  • Recommendations and tuning
  • Scalability
  • Scaling up takes a long time; it needs to be much faster
  • Amazon Relational Database Service (RDS) has a limit on the number of databases you have, unlike Azure SQL Server
  • Higher staff productivity
  • Lower IT infrastructure cost and administration
  • Automated backups and upgrades
Amazon Relational Database Service (RDS) is an excellent option for those using AWS already, and provides a scalable, performant, database engine. Unlike Azure SQL Server it has a limit on the number of databases you can hold. However, if you're already in the AWS ecosystem it is an excellent option and definitely vastly superior than managing a VM with an on-prem SQL Server.

Do you think Amazon Relational Database Service (RDS) delivers good value for the price?

Yes

Are you happy with Amazon Relational Database Service (RDS)'s feature set?

Yes

Did Amazon Relational Database Service (RDS) live up to sales and marketing promises?

Yes

Did implementation of Amazon Relational Database Service (RDS) go as expected?

Yes

Would you buy Amazon Relational Database Service (RDS) again?

Yes

Amazon Relational Database Service (RDS) is well-suited to running your relational databases in a serverless way, without having to manage a VM to run them. It makes licensing and scalability easier, and also comes with recommendations and automated version upgrades. However, by the same token, there are some limitations; e.g., you can't edit or manage all SQL Server parameter options; you have a limit on the number of databases you can have; and you don't get sysadmin access to the underlying SQL Server.