What is Amazon Aurora?
Amazon Aurora is a relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides unparalleled high-performance and availability at global scale with full MySQL and PostgreSQL compatibility. Amazon Aurora provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services.
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
90 Likeliness to Recommend
100 Plan to Renew
88 Satisfaction of Cost Relative to Value
3
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+94 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Amazon Aurora?
Pros
- Helps Innovate
- Includes Product Enhancements
- Reliable
- Acts with Integrity
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
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Feature Ratings
Data Protection and Security
Database Management
High Availability
Data Backup
Data Management
Systems Performance Management
Cloud/On-Prem/Hybrid Deployment
Distributed Processing
Operations Management
Analytics and Reporting
Data Virtualization
Vendor Capability Ratings
Quality of Features
Business Value Created
Breadth of Features
Ease of Implementation
Ease of Data Integration
Ease of Customization
Ease of IT Administration
Availability and Quality of Training
Usability and Intuitiveness
Vendor Support
Product Strategy and Rate of Improvement
Amazon Aurora Reviews
Manikanta R.
- Role: Operations
- Industry: Technology
- Involvement: End User of Application
Submitted May 2024
Amazon Aurora: Redefining Database Performance and
Likeliness to Recommend
What differentiates Amazon Aurora from other similar products?
Amazon Aurora stands out from other database solutions due to its combination of performance, scalability, and cost-effectiveness. It offers up to five times better performance than standard MySQL databases and three times better than standard PostgreSQL databases, making it ideal for high-performance applications. Additionally, Aurora's ability to automatically scale storage without downtime and its built-in replication across multiple availability zones ensure high availability and reliability. This combination of performance, scalability, and resilience sets Amazon Aurora apart from other similar products in the market.
What is your favorite aspect of this product?
My favorite aspect of Amazon Aurora is its performance and scalability. It offers exceptional performance compared to traditional database solutions like MySQL and PostgreSQL, making it ideal for demanding workloads. Additionally, its ability to automatically scale storage based on demand ensures that applications can handle sudden spikes in traffic without any downtime or performance degradation.
What do you dislike most about this product?
One aspect of Amazon Aurora that could be improved is its pricing complexity. While Aurora offers excellent performance and scalability, navigating its pricing structure, which includes various factors such as instance type, storage usage, and data transfer costs, can be challenging for users. Simplifying and clarifying the pricing model could enhance the user experience.
What recommendations would you give to someone considering this product?
When considering Amazon Aurora, prioritize performance evaluation and cost analysis. Plan for high availability, develop a data migration strategy, and implement robust monitoring. Utilize AWS support and stay informed about updates for optimal utilization.
Pros
- Reliable
- Enables Productivity
- Trustworthy
- Effective Service
Amir M.
- Role: Consultant
- Industry: Entertainment
- Involvement: End User of Application
Submitted Apr 2024
Fantastic product!
Likeliness to Recommend
What differentiates Amazon Aurora from other similar products?
Fully Managed DB by AWS, operational management is not required. You can focus on use case implementation. Very fast than standard postgres and MySQL databases
What is your favorite aspect of this product?
Scalability, high availability, faster, and distributed fault tolerant storage system.
What do you dislike most about this product?
Cost is a bit high
What recommendations would you give to someone considering this product?
It is a great fully managed and fast postgres and mysql db option on cloud
Pros
- Effective Service
- Saves Time
- Security Protects
- Helps Innovate
Lennon W.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
Reliable Managed Database Automated Environments
Likeliness to Recommend
What differentiates Amazon Aurora from other similar products?
Aurora combines managed database convenience with strong performance. It feels closer to running a high end database without the usual operational overhead.
What is your favorite aspect of this product?
The reliability. Automated backups, replication, and scaling work smoothly, which fits well into infrastructure as code and hands-off operations.
What do you dislike most about this product?
Cost tracking can be tricky. Without careful monitoring, usage based pricing can grow faster than expected in automated setups.
What recommendations would you give to someone considering this product?
Design automation around scaling and failover early. Aurora works best when monitoring, alerts, and recovery are part of the initial setup.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Trustworthy
