Item: Amazon Relational Database Service (RDS)
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

In our line of work we are helping client technical team in selecting the right tools and most of the time Databases are the most sore pain points in terms of performance and manageability. In most of scenarios we are suggests managed databases and in AWS case RDS if the client's application needed a traditional relational DB and they dont want the overhead of maintenance and manageability.

Pros and Cons

Backups and Management : RDS is an AWS managed service which means that you have the best experience as AWS take care of most of your tasks like Backup, provision new nodes and recovery.
Scalability: RDS can be scaled up or down to meet your changing needs.
High Availability: RDM supports multi-AZ deployment ensuring HA

Snapshot restoration is needed so Data can be restored to a certain point in time instead of new instance creation.

Return on Investment

Easier to manage so small team can manage the environments.

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

Google Cloud SQL

Likelihood to Recommend

RDS reduced the need of a dedicated DB administrator. From a single node to cluster of nodes, Its very easy to provision, manage and right scale in RDS. RDS supports a variety of database engines like MySQL, MariaDB, PostgreSQL, Oracle and SQL Server. RDS is a very secure, provide the security through features such as encryption and role based access control.

Amazon Relational Database Service (RDS) Review

Overall Satisfaction with Amazon Relational Database Service (RDS)