Item: Amazon Relational Database Service (RDS)
Rating: 8
Author: Angad Singh

Use Cases and Deployment Scope

I use RDS to support different applications that create relational data and need to store it in a database. It is usually used in AWS architectures a long with Amazon EC2 for compute.

Pros and Cons

Read Replicas
Availabilty
Multi AZ Deployments

Scalability
Cost
Database Type Options

Return on Investment

Risk Mitigation
Easy Deployment
Low cost compared to on prem server

Alternatives Considered

Azure SQL Database and Google Cloud Datastore

Whether using AWS, GCP, or Azure, you get the most value out of using applications from the same suite. Since my organization is AWS first, I am using RDS because it provides the most value for us using it with the other AWS offerings

Key Insights

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

Other Software Used

Amazon Elastic Compute Cloud (EC2), Docker, Azure Databricks

Likelihood to Recommend

Storing relational data, with synchronous or asynchronous updates, where data backups are required and even multi AZ or multi region backups available

RDS, the most popular relational database

Overall Satisfaction with Amazon Relational Database Service (RDS)