Amazon Relational Database Service (RDS) : Automatically and Smoothly
September 19, 2023

Amazon Relational Database Service (RDS) : Automatically and Smoothly

Sayam Jain | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Relational Database Service (RDS)

We have used PostgreSQL using Amazon Relational Database Service (RDS) for our one of the product. Using it helped us to reduce the downtime to less than 0.01%. Most of the RDBMS configuration were already managed by AWS. It helped us in reducing the management of the RDBMS server from our team. With its help our product has grown due to uptime. It has the feature of the auto Scalability too which helped us to manage the traffic for our product. It has taken care of our databases backups too.
  • Automatic Database Management
  • High Availability and Reliability
  • Scalability
  • Cost consideration
  • Complexity with cross region Replication
  • Auto Backup service
  • High Availability
In my opinion, Amazon Relational Database Service (RDS) has provided better services in terms of Scalability and data Security as compared to its competitor. It helped us to manage our data using RDS server more efficiently and effectively. The high Availability helped us to make our product available to our end users. It Auto Scaling helped us a lot.

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

Google Cloud SQL, Azure SQL Database, Amazon Elastic Container Service (Amazon ECS)
We have used it our project website where the traffic was uncertain throughout the day. It helped us by auto scaling so that at any point of time our website was readily available to tour users. In the lean hours it reduced to its original size which help in reduction of the server cost.