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.

Seller

Amazon Web Services (AWS)

Discussions

Amazon Aurora Community

Solution Type

Best-of-Breed

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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Top-Rated Alternatives

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User Insights

Average based on 456 real user reviews.

Implementation Time

2 months

Perceived Cost

$$$$$

Amazon Aurora Integrations

(3)

Integration information sourced from real user reviews.

Amazon Aurora Reviews FAQs

Generated using AI

Last updated: Nov 04, 2026

What is Amazon Aurora, and what problem is it built to solve?

Amazon Aurora is a managed cloud relational database used to store and query structured data without teams having to handle as much of the underlying database maintenance themselves. In day-to-day use, it supports application and transaction workloads where performance, scalability, and availability matter.

What company sizes and industries is Amazon Aurora the best fit for?

Amazon Aurora appears across small-business, mid-market, and enterprise teams, with users most often describing relational database workloads in software and IT settings. Other recurring industry contexts include security and financial services.

Small businesses: Teams with 50 or fewer employees.
Mid-market: Organizations with 51–1,000 employees.
Enterprise: Organizations with more than 1,000 employees.
Software and IT: Computer software and information technology services.
Other recurring industries: Computer and network security, banking, and financial services.

How long does it take to implement Amazon Aurora across a team?

Implementation timelines vary with the workload and setup, but teams most often report getting to go-live in under a month. Longer rollouts also occur, especially across multi-month timelines.

Time to go live	Relative frequency
Under 1 month	Most common
1–3 months	Also reported
3–6 months	Reported less often
6–12 months or more	Occasional longer rollouts

What customer support options does Amazon Aurora provide, and how do users find the overall support experience?

Support is available by phone and email/help desk, with knowledge resources and 24/7 live-rep support. The support experience is mixed: users describe helpful, prompt assistance, while others find complex issues can take longer to resolve or call for specialized AWS knowledge.

What is the experience like for teams switching to Amazon Aurora from another tool?

Switching to Amazon Aurora is often motivated by faster query performance, easier scaling, higher availability, or less database administration. Transitions from MySQL and PostgreSQL, as well as SQL Server, Oracle, RDS, and other database services, are described as ways to move toward managed operations and stronger performance; the amount of migration work depends on how closely the existing database and application fit Aurora’s supported engines and features.

What tools and platforms does Amazon Aurora integrate with, and how do these integrations help users get more value from the product?

Amazon Aurora offers 3 listed integrations. Users connect it with tools for monitoring and auditing, as well as database platforms:

Monitoring: Amazon CloudWatch.
Auditing: AWS CloudTrail.
Database platform: Microsoft SQL Server.

In daily use, monitoring and audit connections help teams keep database activity and operational visibility alongside their AWS environment, while database-platform connections can support data workflows.

What features or capabilities could make Amazon Aurora even more useful?

More visibility and control around cost, configuration, and database tooling would make Amazon Aurora easier to manage. Commonly requested improvements include:

Clearer cost, storage, and usage dashboards to make spending easier to understand and forecast.
More configuration flexibility and finer-grained performance tuning for specialized workloads.
Broader engine, version, and feature compatibility for teams with requirements beyond the available MySQL and PostgreSQL options.
A more capable query editor and clearer tooling for inspecting data, logs, and query performance.

Is Amazon Aurora considered safe and secure for handling data?

Users describe Amazon Aurora as supporting data protection through encryption and access controls, and they value backups and replication as safeguards against data loss. Access-control configuration and security-related setup can require care, so teams should account for that operational work when assessing it for sensitive data.

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Atharva P.

Cloud BI Engineer

Enterprise (> 1000 emp.)

5/14/2026

"Robust Performance with Cost Challenges"

4.5/5

What do you like best about Amazon Aurora?

I like Amazon Aurora's performance, scalability, and reduced operational overhead compared to managing traditional databases manually. It provides a seamless blend of MySQL, Postgres, and SQL compatibility with cloud-native high availability and automation. I use it for production applications where uptime, scalability, and performance are critical. Aurora effectively handles transaction workloads and supports our back-end APIs and microservices, particularly in high availability database environments, which is crucial for our cloud-native application architecture on AWS. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Costs can increase significantly for high scale production workloads. It is quite expensive for high scale production workloads, especially with replicas and storage growth. Troubleshooting performance bottlenecks in complex environments can also require deeper AWS expertise. Review collected by and hosted on G2.com.

Igor Z.

Senior DevOps Manager

Enterprise (> 1000 emp.)

Originally submitted 3/21/2026

"Scalable and Efficient, But Costly"

5/5

What do you like best about Amazon Aurora?

I like Amazon Aurora because it has less overhead in maintenance compared to regular RDS PG, which means there's less maintenance work for DBAs. The scalability is great, and its integration with other AWS services is seamless, so we need less interaction with infrastructure and less DBA work. Also, the initial setup was not too challenging. Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

Amazon Aurora is too expensive. It's serverless, making it very hard to predict the cost increase. I suggest better dashboards. Review collected by and hosted on G2.com.

Harsh S.

Software Engineer

Enterprise (> 1000 emp.)

Originally submitted 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

Information Technology and Services

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 Information Technology and Services

Enterprise (> 1000 emp.)

5/1/2026

"Easy DB Maintenance and Automated Backups for a Fault-Tolerant Platform"

4.5/5

What do you like best about Amazon Aurora?

The ease of maintaining a DB and automated backup integration helped us greatly in keeping our platform fault tolerant Review collected by and hosted on G2.com.

What do you dislike about Amazon Aurora?

The pricing of the service is a bit on the higher side 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.