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Amazon Relational Database Service (RDS) performance
Updated October 10, 2023

Amazon Relational Database Service (RDS) performance

Prajwal Shetty | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Relational Database Service (RDS)

I used Amazon Relational Database Service for Databricks Technical Field Telemetry(TFT) Project, which is an internal project for field engineering teams where they manage customer engagement, interactions, feedbacks. This majorly helped to improve our product by managing each team, each individual performances, thus they can set targets for improvement plans. It also displays a hit score which is the benchmark for internal teams. We used Amazon Relational Database Service serverless to deploy the backend database, which is lightening fast, reliable DBMS.
  • Serverless
  • Performance
  • Scalability
  • Reliability
  • AWS instance downtimes
  • Ease of use
  • End user installation
  • Cost of the ec2 instance
  • Impacted downtime from AWS
With the latest serverless technology Amazon Relational Database Service (RDS) has an edge over all its competitors, it works really fast with high log retention.

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

It's best suited for serverless computing, really fast, least downtime. But when the Ec2 instance is down it's directly proportional, also we could see a connection issue when Ec2 instance wasn't open.

Using Amazon Relational Database Service (RDS)

2000 - Most of the customer dataplanes uses Amazon Relational Database Service (RDS) in backend operation.
3000 - basically Technical Support Analysts, Database Administrator, Support Admins, Solution Architects & Core Engineering teams use Amazon Relational Database Service (RDS) on an on-going basis.Relational Database Management System(RDBMS), SQL & Database basic rules are fairly enough to support Amazon Relational Database Service (RDS) on daily basis
  • cloud databases
  • serverless computing
  • backend RDBMS
  • user metadata stores in serverless computing
  • survey hits count data
  • autoscale instances
  • autoscaling instances
  • cluster DBR upgradation
  • auto error detection
RDS is cost-effective & self-healing databse management system which is really fast interms of performance.

Evaluating Amazon RDS and Competitors

  • Cloud Solutions
  • Scalability
  • Integration with Other Systems
  • Ease of Use
Auto AI & auto scaling instances with cost effective scalability by integrating 3rd party systems.