Amazon Aurora Reviews & Product Details

Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.

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Amazon Web Services (AWS)

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Amazon Aurora Community

Overview by

Munny Khera

Value at a Glance

Averages based on real user reviews.

Time to Implement

2 months

Return on Investment

11 months

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Amazon Aurora Integrations

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Amazon Aurora Reviews (454)

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Harsh S.

Software Engineer

Enterprise (> 1000 emp.)

9/18/2025

"Review for AWS Amazon Aurora"

5/5

What do you like best about Amazon Aurora?

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. I like its auto-scaling, high availability across multiple AZs, compatibility with MySQL/PostgreSQL, and automated backups, which make it easy to manage without worrying about infrastructure overhead. The performance improvements and serverless options are especially helpful for applications that need to scale on demand. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

The main downside is the pricing model, which can get expensive at scale compared to self-managed databases. Aurora also has some limitations with certain advanced database features that exist in native MySQL/PostgreSQL. Additionally, cross-region replication setup can be complex, and debugging issues sometimes requires AWS support since it’s a managed service with limited visibility into the underlying infrastructure. Review collected by and hosted on G2.com.

What problems is Amazon Aurora solving and how is that benefiting you?

Amazon Aurora helps solve issues of scalability, availability, and database management overhead. It automatically handles backups, failover, and scaling, which reduces downtime and admin effort, while its compatibility with MySQL/PostgreSQL makes migrations smooth. This results in better performance, cost savings, and more focus on application development instead of infrastructure. Review collected by and hosted on G2.com.

Ljupcho T.

Microsoft Certified Trainer

Information Technology and Services

Mid-Market (51-1000 emp.)

6/11/2025

"AWS Databases – Powerful, Feature-Rich, and Easy to Integrate"

5/5

What do you like best about Amazon Aurora?

AWS offers a broad selection of managed database services that are widely used across industries for everything from small applications to large-scale enterprise systems. With options like Amazon RDS, Aurora, DynamoDB, and more, AWS databases are known for their ease of use and rich feature set.

One of the major strengths of AWS databases is how easy they are to implement and integrate into existing AWS-based applications. Setting up a database can often be done in just a few clicks through the AWS Management Console, and integration with other AWS services (like Lambda, EC2, or S3) is seamless. This makes them an ideal choice for developers and DevOps teams looking to move quickly.

Amazon Aurora, in particular, stands out for its low-maintenance design and high performance, offering compatibility with both MySQL and PostgreSQL. It automates backups, patching, scaling, and failover, which significantly reduces operational overhead.

While AWS databases are frequently used due to their scalability and reliability, users should note that in-depth customer support (such as architectural guidance or 24/7 technical assistance) usually requires a paid support plan. The basic support tier is free but limited. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Advanced Support Costs Extra: Deep technical support and fast response times require a paid support plan.

Can Be Complex at Scale: While simple to start, large deployments require careful configuration and cost monitoring.

Vendor Lock-In Risk: Heavy reliance on AWS-native services may make migration harder later. Review collected by and hosted on G2.com.

What problems is Amazon Aurora solving and how is that benefiting you?

AWS Databases help us address several critical infrastructure challenges, especially around availability, scalability, and operational efficiency. One of the biggest problems we’ve been able to solve is achieving near-zero downtime for our applications. With features like automated failover, multi-AZ deployments, and continuous backups, we can ensure our services remain online and resilient even during maintenance or unexpected failures.

We also benefit significantly from multi-region replication, which allows us to improve performance for global users while maintaining data consistency and disaster recovery readiness. This level of redundancy is hard to achieve with traditional self-managed database setups and would typically require complex custom implementations.

Additionally, AWS's managed services reduce the overhead of tasks like patching, scaling, and monitoring, allowing our teams to focus more on development and less on infrastructure management. These capabilities directly contribute to faster delivery times, improved user experience, and stronger business continuity. Review collected by and hosted on G2.com.

Gullipalli A.

Senior Analyst

Enterprise (> 1000 emp.)

9/17/2025

"High-Performance, Scalable Database with Great Reliability"

5/5

What do you like best about Amazon Aurora?

Amazon Aurora delivers excellent performance and scalability compared to traditional databases. It’s highly reliable with automatic failover, backups, and replication. Integration with other AWS services is seamless, and the pay-as-you-go pricing makes it cost-effective for scaling applications. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

The pricing can become expensive at scale, especially with large workloads or heavy storage usage. The learning curve for managing advanced configurations may be steep for beginners, and being AWS-specific reduces flexibility if you want to migrate away later Review collected by and hosted on G2.com.

What problems is Amazon Aurora solving and how is that benefiting you?

Aurora makes it easy to handle high traffic without worrying about downtime or data loss. It takes care of backups, replication, and scaling automatically, so I don’t have to spend time on manual database management. This saves me effort, keeps my apps running smoothly, and lets me focus more on building features instead of fixing database issues. Review collected by and hosted on G2.com.

Cun j.

Sr. Consultant

Enterprise (> 1000 emp.)

12/18/2025

"Reliable for Long-Running ETL Jobs, Perfect for Nightly Batches"

4/5

What do you like best about Amazon Aurora?

Long running ETL ELT jobs fail less often than other tool. Good for night batch heavy jobs. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Storage grows quietly and cost more than expected when see the bills. Review collected by and hosted on G2.com.

Verified User in Computer Software

Mid-Market (51-1000 emp.)

7/29/2025

"Powerful and Flexible, but Cost and Complexity Can Creep In"

5/5

What do you like best about Amazon Aurora?

Wide Range of Options: From fully managed (RDS, Aurora) to scalable NoSQL (DynamoDB), AWS offers solutions for nearly every use case.

High Availability: Built-in features like Multi-AZ, replication, and automatic failover are easy to configure.

Performance Tuning Options: Aurora and RDS offer good metrics, auto-scaling, and tuning tools.

Security and Compliance: Integration with IAM, KMS, VPC, and auditing tools provides robust enterprise-grade protection. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Cost Can Escalate Quickly: Especially with features like provisioned IOPS, backup storage, and cross-region replication.

Learning Curve: So many options (RDS vs Aurora vs DynamoDB vs Redshift) can overwhelm new users.

Limited Cross-DB Integration: Migrating between engines (e.g., from Aurora MySQL to PostgreSQL) isn't seamless.

Vendor Lock-In Risk: Heavily optimized apps can become tightly coupled to AWS-specific features. Review collected by and hosted on G2.com.

What problems is Amazon Aurora solving and how is that benefiting you?

Sped up development with managed PostgreSQL (RDS) — no DBA required.

Handled high-ingest workloads via DynamoDB without worrying about scaling limits.

Reduced downtime risks during maintenance thanks to Multi-AZ failover.

Streamlined compliance audits using built-in encryption and access logging. Review collected by and hosted on G2.com.

Jeffrey K.

VICE PRESIDENT OF HUMAN RESOURCES

Enterprise (> 1000 emp.)

9/16/2025

"SOFTWARE AMAZON AURORA REVIEW"

4.5/5

What do you like best about Amazon Aurora?

HELPS CREATE MULTIPLE DATABASES WITH MINIMUAL EFFORT Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

IT HAS LIMITED SUPPORT FOR NON-SQL POSTGRE SQL ENGINES Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Enterprise (> 1000 emp.)

9/18/2025

"Service provides superior performance, automatic storage scaling & low recovery times."

4.5/5

What do you like best about Amazon Aurora?

Amazon Aurora is highly praised for its superior performance, scalability, and high availability compared to standard MySQL and PostgreSQL, offering features like automatic storage scaling, built-in replication, and low recovery times. Appreciate the ease of use for database management and the ability to handle heavy workloads seamlessly. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Its pricing to be complex or potentially higher than alternatives, and occasional software bugs or limitations, such as connection issues or restricted commands. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

9/18/2025

"Better than roll your own"

5/5

What do you like best about Amazon Aurora?

Easy to use and maintain

Ease of implementation

great customer support

Lot of features

Easy of integration in to any tech stack

Frequency of use - it is used everyday Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Not as flexible as using your own DB

I could have even more features

Allow finer grained tuning Review collected by and hosted on G2.com.

Jorge Y.

Software developer

Mid-Market (51-1000 emp.)

7/29/2025

"Greatest online database"

4.5/5

What do you like best about Amazon Aurora?

For me, one of the best things about Aurora is the compatibility with MySQL and Postgres Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

I don't find anything that make me feel sad with Amazon Aurora Review collected by and hosted on G2.com.

Abhinav C.

DevOps Engineer

Small-Business (50 or fewer emp.)

9/6/2024

"Best serverless database in cloud"

4.5/5

What do you like best about Amazon Aurora?

Aurora provides us with much better performance speed than a normal traditional database. It also provides continuous automated backups in s3 without halting the live functionality of the application in the real world.

As Aurora is a managed service it becomes very easy to deploy within a few minutes.

Aurora also provides seamless integration with many AWS services for AI/ML like bedrock and Amazon SageMaker. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

One of the main issues we run into in Aurora is that you need to keep your database in constant auto-scaling but temporary storage is local to a computing instance and depends on its class. So if your ALTER statement requires lots of temporary space to rebuild table/index, it may fail because of insufficient local storage.

One of the other disadvantages is that we can't use the SUPER mysql command, as that is blocked. Review collected by and hosted on G2.com.

What problems is Amazon Aurora solving and how is that benefiting you?

Our old traditional database scales poorly against high volumes of data and heavy loads of transactions.

So, amazon auora help us in solving these two problem by providing low latency read replica and autoscaling to handle our heavy traffic based on the scenario.

It also provide cross region disaster recovery option so we can provide our customers with seamless experience in term of any mishappening. Review collected by and hosted on G2.com.