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Amazon Aurora

Amazon Aurora

Overview

What is Amazon Aurora?

Amazon Aurora is a global-scale relational database service built for the cloud with full MySQL and PostgreSQL compatibility.

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Recent Reviews

Amazon RDS Aurora.

9 out of 10
September 25, 2023
Incentivized
Amazon aurora was used for audit purposes. The main purpose was to audit IoT device activities performed by end user. All the information …
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AWS Aurora Review

8 out of 10
September 22, 2023
Incentivized
In our organization, we leverage Amazon Aurora as a critical component of our database infrastructure. Aurora is a high-performance, fully …
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Cost effective

9 out of 10
September 19, 2023
Incentivized
  • Primarily use it in our core payments platform given that we need strong ACID properties but we’re looking to transition to dynamodb soon …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Automated backups (25)
    9.4
    94%
  • Database scalability (26)
    9.4
    94%
  • Automatic software patching (26)
    8.9
    89%
  • Monitoring and metrics (25)
    8.7
    87%

Reviewer Pros & Cons

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Features

Database-as-a-Service

Database as a Service (DBaaS) software, sometimes referred to as cloud database software, is the delivery of database services ocer the Internet as a service

9.1
Avg 8.7
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Service Offering Details

What is Amazon Aurora?

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, built to combine the performance and availability of enterprise databases with the simplicity and cost-effectiveness of open source databases. The vendor states Amazon Aurora is up to 5X faster than MySQL databases and 3X faster than PostgreSQL databases, and that it provides the security, availability, and reliability of commercial databases at 1/10th the cost.

Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).

The vendor invites readers to learn more details on how they designed Amazon Aurora, from AWS CTO, Werner Vogels.

Amazon Aurora Screenshots

Screenshot of A look inside the RDS console.

Amazon Aurora Videos

How to create a first database cluster on Amazon Aurora.
What's new in Amazon Aurora

Amazon Aurora Availability

GeographyNAMER, EMEA, APAC, LATAM
Supported LanguagesEnglish, French, Chinese, Korean, Japanese

Frequently Asked Questions

Amazon Aurora is a global-scale relational database service built for the cloud with full MySQL and PostgreSQL compatibility.

Microsoft SQL Server, Oracle Database, and PostgreSQL are common alternatives for Amazon Aurora.

Reviewers rate Database scalability and Automated backups highest, with a score of 9.4.

The most common users of Amazon Aurora are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(163)

Attribute Ratings

Reviews

(1-25 of 38)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
Both Acquia Digital Experience Platform and Amazon Aurora use MySQL and PostgreSQL. Acquia of course has more compatibility with other database system like MariaDB. But Amazon Aurora provides maximum 100GB for a single subscription and in subscription we can have multiple sites. Whereas Amazon Aurora starts off with 10GB and can be upscaled up to 128TB without our intervention. And I guess I won't be needing to mention on availability and durability as mentioned in other sections.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
They're all great products to use and it really varies on your business use case. We picked Amazon Aurora because of its high availability support and scales very well
September 20, 2023

A powerful RDBMS

Ayush Dutta | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
MongoDB is also powerful and efficient with a large amount of data, well RavenDB is much powerful than Mongo, and has more facilities which I like and is better than Mongo. But, Amazon Aurora is much more powerful and confidential data management system, having a cool blockchain system with a powerful relationship between different records.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
All those products are very similar. the difference is the interface, the support and the API available for deploy the service.
The main difference is cost
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I have selected because of its in built security feature which makes my data secure and also have an ability to create backup automatically. It is a fully managed relation database engine that is compatible with MySql and PostgreSQL. It has server less computing.
Judy L. Berglund | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
In my opinion, much better and is also more cost effective based on other products we've reviewed. We also utilize other products from AWS and it makes a perfect fit for not only our environment but the clients we work with as well.
August 31, 2023

Amazon Aurora Review

Alok Pabalkar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Aurora vs Athena: Aurora provided MySQL/Postgres/MariaDB as DB engine whereas Athena provides SQL interface over data stored in S3 as datalake. Aurora has high performance compared to Athena.

Aurora vs Redshift:- Different Architectures. Redshift is faster as its engine is a modified version of Postgres and stores data column wise vs Aurora DB stores data Row wise.
Manthan Dhola | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Performance and Scalability: If an organization requires high performance and the ability to scale seamlessly to handle varying workloads, Amazon Aurora's architecture is well-suited for these needs.
  • High Availability: Organizations that prioritize uptime and require automatic failover in case of AZ failures can benefit from Aurora's multi-AZ deployments.
  • Ease of Management: AWS's managed service approach reduces administrative burden, allowing organizations to focus on their applications rather than database maintenance.
  • Security and Compliance: Aurora's security features make it appealing to organizations that deal with sensitive data or are subject to compliance regulations.
  • Compatibility: Organizations already using MySQL or PostgreSQL may find it easier to migrate to Aurora while maintaining familiarity with the database engine.
Ed Mandret | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Because most of our resources were already deployed within our AWS account, we wanted to have everything under the same umbrella. Moreover, AWS workload identity layer was crucial in providing passwordless authentication to our Aurora endpoints.
Avantika Sikand | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Each AWS service is best in its own way. Aurora is best in relational database. Codebuild is best when building and testing the application in SDLC and AWS CodePipeline is another solution for CI CD pipeline in Agile.
Vasco Mendes | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized

Unlike proprietary solutions like Microsoft SQL Server, Amazon Aurora does not need proprietary licensing, so we can use this budget to get cloud solutions with high availability and performance, at a similar rate. When compared to MySQL or Postgres SQL, it allows us to have a database system always updated with the most current features and security best practices without having to worry about it. In normal database systems like MySQL to keep the database system up to date we need to have someone always looking for new upgrades.

As it relies on MySQL there is no extra formation for a team that is already used to a MySQL solution.

James Hilton | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Aurora exists to provide the convenience of a MySQL style language with as many automated features as possible where AWS can manage them independently or provide a user interface or CLI to easily allow us as administrators and developers to configure the settings beyond the defaults to customize our performance, availability, and cost-efficiency.
Piyush Goel | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Aurora vs RDS: Better replication and performance of Aurora as compared to RDS. Almost zero replication lag in most cases which is a big improvement over RDS. Scaling, maintenance, and overall ROI are higher in Aurora.

Aurora vs Percona: Aurora comes well integrated with the AWS ecosystem. So, easier to integrate into the overall infrastructure if you are already on AWS.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Aurora offers an easy-to-use MySQL or Postgres compatible database that is cloud native. This is great for LAMP / LAPP stack applications as it shortens development time considerably as you no longer need to spend time setting up databases, setting up database backups, and so on. The serverless options also allow for great cost savings as capacity management is quite hands-off and allows for great flexibility and savings - which are important, especially in lean startup environments.
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