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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

(161)

Attribute Ratings

Reviews

(1-25 of 44)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Concurrency
  • Excellent transaction time
  • Perfect compatibility with our sites
  • Ease of scaling
  • Little less transparent on insights
  • Non-availability of standalone solutions. I understand amazon aims for cloud based solution. But having a facility with standalone will look great
  • Lastly, of course pricing could be more dynamic so we can only pay for what we opt for
September 22, 2023

AWS Aurora Review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • High Availability and Fault Tolerance
  • High Performance
  • Backup and Restore feature
  • It has a limited support for non-SQL/PostgreSQL engines
  • More integration with other AWS services
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Able to work on very big databases without any interruptions.
  • One of the best things about Aurora is everything is hosted in the cloud with wider capabilities.
  • It is easy to implement, and the interface is easy to access.
  • Very quick instances can be connected without the loss of data.
  • Its interface is quite simple but repetitive in nature.
  • Database authentication problems can be improved.
  • Sometimes logical errors occur which is annoying in nature.
September 19, 2023

Cost effective

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Cost effective relational database
  • High availability in multiple regions
  • Fully managed
  • I/O costs are incurred
  • Not fully MySQL compatible especially if you’re using something very specific to mysql
  • Might hit the upper limit on max number of connections
Iván García | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • No need to provision storage nor IOPS for the disks
  • Automatics continuos backups with the possibility to point-in-time restore in new database or backtrack to a point in time in the same database
  • Increase availability by using Read Replicas and also distributing read capacity using them for queries
  • If using Aurora Serverles v2 one thing missing is the possibility to reduce it to 0 ACU
Manthan Dhola | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • 100% Uptime with no packet losses
  • Scalability with read replicas
  • fully managed database
  • Restore Point in Time
  • Handel more load than mysql
  • Parallel Queries supported
  • Improve Response time
  • Add write replica for scaling
  • database caching
Brooke Steed | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Provides continuous backups while other applications are running without causing any interruption in production.
  • Provides built-in security features i.e. encryption at rest and in-transit, making sure that our data is secure both during storage and transmission.
  • Allows us to easily monitor the database's performance metrics and analyze them to optimize query performance and identify any potential issues.
  • Improve the ability to handle time zone conversions and daylight saving time.
  • Geospatial data is becoming increasingly important in various applications, and Aurora currently lacks built-in support for geospatial data types and functions.
  • I think allowing and enchancing schema changes would improve the overall database management experience.
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