Item: Amazon Aurora
Rating: 9
Author: Verified User

Use Cases and Deployment Scope

Amazon aurora was used for audit purposes. The main purpose was to audit IoT device activities performed by end user. All the information is fed into Aurora database and later use to analytics purpose what activities are performed by user. Also provide user the history of their activities.

Pros and Cons

Fetch performance is great.
Huge cluster size.
Easy to setup.

Supports InnoDB.
Does not support small RDS.

Return on Investment

More efficient and managing database.
Accessibility.

Reliability and Availability

We used MySQL from different cloud services, but it was fluctuating in another country (Pakistan). Then, we tested out AWS RDS Aurora, and the connection was fluctuating. It was highly available.

Alternatives Considered

Microsoft SQL Server and MySQL

SQL Server requires a license, and it's another hectic our organization did not want to go with.

Key Insights

Do you think Amazon Aurora delivers good value for the price?

Yes

Are you happy with Amazon Aurora's feature set?

Yes

Did Amazon Aurora live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Amazon Aurora go as expected?

Yes

Would you buy Amazon Aurora again?

Yes

Other Software Used

AWS IoT, AWS CloudFormation, Amazon DynamoDB, Amazon S3 (Simple Storage Service), Amazon Simple Queue Service (SQS), AWS Secrets Manager, AWS Cloud9

Likelihood to Recommend

It's suited where you have enterprise applications and integrate open-source databases without requiring a license.

Amazon RDS Aurora.

Overall Satisfaction with Amazon Aurora