Item: Amazon Relational Database Service (RDS)
Rating: 9
Author: Hüseyin Dal

Use Cases and Deployment Scope

We can perform hardware scaling on RDS when your needs require it. Amazon RDS allows us to revise these values when we need less CPU, IOPS or more storage space. We able to use popular well-known databases as MySQL, MariaDB, PostgreSQL, Oracle or Microsoft SQL Server. Also we can manage backup, maintenance and, depending on the product you use, newly released updates and disaster scenarios in case of a possible problem.

Pros and Cons

Easy to use
Support many well-know databases

Pricing should be less
Should support more directories

Return on Investment

After setting up, it is really working well
It giving us option to control our all databases via Amazon

Key Insights

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

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?

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

Yes

Likelihood to Recommend

We just a created a scenario to use Amazon RDS with our current Microsoft SQL Server database. We just replicated and sync our databases with Amazon RDS. First it was a bit hard to set up. But after first implementation everything went well and working without an issue. We keep monitoring it.

Good alternative for cloud database experience

Overall Satisfaction with Amazon Relational Database Service (RDS)