Amazon RDS Deep Dive: Scaling Sky-High with Database Delight!
Updated March 06, 2024

Amazon RDS Deep Dive: Scaling Sky-High with Database Delight!

Alok Pabalkar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Relational Database Service (RDS)

We use Amazon Aurora as one of the databases used for hosting a product in our Edtech SaaS Platform GIDE.AI.
  • Setting-up, Monitoring & Managing DB is super easy.
  • It has automatic backup and in Multi A-Z mode DB can be used in Mirrored mode.
  • Has Point in time recovery, which was super useful, when a team member accidentally updated some entries and we were able to restore it super quickly.
  • On the fly DB Vertical Scaling could be useful.
  • Connection Display & stats can be present to see and improve app design
  • Could have inbuilt service for troubleshooting, locks, slow queries.
  • High velocity of product development.
  • Super easy to manage CMS. Cheap man power cost.
  • Quick learning curve, improves resource productivity.
AWS RDS provides multiple Engines as compared to Google SQL AWS RDS provides more than 5 read replicas which a Google SQL does not AWS RDS is a cheaper option than Redshift for smaller datasets. Redshift is a Dataware house and must be used for super large datasets only Super easy configuration and Mangement for AWS RDS.

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

1. All Transactional Processes 2. Storage of Structured Data Not suited for applications that have highly changing requirements. Better to use a NoSQL DB as it provides the ability to store unstructured data.