Item: Amazon Aurora
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

Amazon Aurora is a relational database service offered by AWS that is designed for high performance, availability, and scalability. It's compatible with MySQL and PostgreSQL. We use both MySQL and PostgreSQL for our client databases. Depending on our needs.

Pros and Cons

High availability.
Compatibility.
High throughput.

Cost
Complexity

Return on Investment

Database performance could increase.
Easier scalability.
Total cost of ownership could end up high.

Reliability and Availability

Aurora is great with with up-time. It can even replicate data over multiple 'availability zones.' Which is very helpful to us. The availability can vary quite a lot at competitor DBaaS providers, at least in my experience.

Alternatives Considered

Azure SQL Database

We selected Aurora for the possibility of both MySQL and PostgreSQL.

Key Insights

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

Not sure

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?

I wasn't involved with the implementation phase

Would you buy Amazon Aurora again?

Yes

Other Software Used

Atlassian Confluence

Likelihood to Recommend

For running a high-traffic e-commerce solution that needs to handle a massive stream of user data, products and deal with inventory updates. It works really well and you can easily add replicas to deal with i.e. load balancing.

Amazon Aurora: Empowering Scalability and Performance for Modern Database Management.

Overall Satisfaction with Amazon Aurora