Amazon Aurora Reviews

I am using Amazon Aurora as a relational database. Our applications for our business users are usually relatively internal application types which are mostly small, which makes data storage and retrieval quick and easy, especially when developing business applications where time is of the essence. Therefore, it is preferable to have a technology that allows developers to work quickly and seamlessly, without any complicated setup or extra steps.

When we use NoSQL databases the data comes at a high speed.

The most valuable feature of Amazon Aurora is SQL standardization, it doesn't have its own syntax which is good. It has a lot of hands-off self-management type of activities, such as log rolling and auto-scaling.

There is improvement needed to have more developer focus. Additionally, it would be helpful to have a stand-alone solution outside of Amazon. Amazon has a tendency to favor developing web-based clients, which may not always provide the fastest or most responsive solution as desired.

I have used Amazon Aurora within 12 months.

Amazon Aurora is stable, I have not had an issue with the solution.

The solution is highly scalable, this is the main reason we use it.

There is not any support for the solution. It is self-documenting and self-aware. They provide you with the tool to fix it yourself whenever there is an issue.

The initial setup of Amazon Aurora is one of the better experiences that I have had.

My advice to others who want to use this solution should go through the AWS foundation courses.

I rate Amazon Aurora an eight out of ten.

I use Amazon Aurora in comparison to community databases like MySQL and PostgreSQL. It is cost-effective compared to Microsoft SQL Server and Oracle. Aurora is built on community databases and AWS has added additional features to it. This allows customers to have enterprise-level features at a lower cost. It provides high availability and geographical redundancy, making it suitable for my organization's needs.

Amazon Aurora provides up to fifteen to sixteen read replicas. It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR. As a managed service, maintenance tasks like backup and restore are handled by AWS, saving my organization significant time and money. Additionally, its fast cloning feature allows us to create a new clone from a large database swiftly, similar to a zero-copy cloning feature in Snowflake. This makes Amazon Aurora a compelling choice for my organization.

Amazon Aurora should upgrade its base PostgreSQL versions more frequently and offer all PostgreSQL extensions. Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.

I have been working with Amazon Aurora for over two years.

There were no challenges or issues faced during the initial setup of Amazon Aurora.

On a scale from one to ten, I would rate the stability of Amazon Aurora as eight. It offers a stable environment, ensuring consistent performance.

I would rate Amazon Aurora's scalability as eight. This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.

Technical support starts with less experienced engineers and escalates to specialists. The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.

I have used Redshift and Snowflake before but shifted to using OLAP and Data Marts for the past year, utilizing Amazon Aurora for database needs.

The initial setup of Amazon Aurora was rated as nine. It is a straightforward process without significant challenges.

Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost. I rated it as two to three on a scale where ten is very expensive.

Overall, I rate Amazon Aurora around eight out of ten. This rating considers multiple factors, including features, scalability, and cost-efficiency. Ensuring that overall support starts with specialized engineers would improve customer service. My overall rating for this solution is eight.

Public Cloud

Amazon Web Services (AWS)