Amazon Aurora
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.
Average Rating: 4.5/5.0
Total Reviews: 435
How Do G2 Users Rate Amazon Aurora?
- Application Performance: 8.9/10 (Category avg: 8.9/10)
- Ease of Use: 8.7/10 (Category avg: 8.8/10)
- Scalability: 9.1/10 (Category avg: 9.0/10)
- Provisioning: 8.7/10 (Category avg: 8.8/10)
Who Is the Company Behind Amazon Aurora?
- Seller: Amazon Web Services (AWS)
- Year Founded: 2006
- HQ Location: Seattle, WA
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LinkedIn® Page: www.linkedin.com
148,266 employees on LinkedIn® - Ownership: NASDAQ: AMZN
- Total Revenue (USD mm): $177,866
Who Uses This Product?
- Who Uses This: DevOps Engineer, Software Engineer
- Top Industries: Information Technology and Services, Computer Software
- Company Size: 38% Small, 34% Medium
What Do G2 Reviewers Say About Amazon Aurora?
AI-generated summary from verified user reviews
Pros
- Users value the auto-scaling and high performance of Amazon Aurora, enhancing manageability and efficiency for applications.
- Users value the high availability and auto-scaling of Amazon Aurora, ensuring seamless performance for scalable applications.
- Users appreciate the ease of use in Amazon Aurora, enjoying seamless management and integration with AWS services.
- Users highlight the impressive performance and scalability of Amazon Aurora, making it ideal for heavy batch jobs.
- Users value the high availability of Amazon Aurora, which ensures reliable performance and seamless workload management.
Cons
- Users find Amazon Aurora expensive, with unpredictable costs that increase significantly for larger datasets and storage needs.
- Users face a significant dependency on the AWS ecosystem, limiting integration with external systems and flexibility.
- Users report feature limitations in Aurora, especially compared to self-managed databases and other cloud providers.
- Users find that the cost issues with Amazon Aurora can accumulate unexpectedly, especially with large datasets.
- Users often find the learning curve steep, especially when transitioning from basic database solutions to Aurora.
What Are Recent G2 Reviews of Amazon Aurora?
"Scalable and Efficient, But Costly"
Rating: 5.0/5.0 stars
— Igor Z.
"Robust Performance with Cost Challenges"
Rating: 4.5/5.0 stars
— Atharva P.
What Are G2 Users Discussing About Amazon Aurora?
- What is Amazon Aurora used for? - 2 comments, 1 upvote
- What is Amazon Aurora vs RDS? - 2 comments
- Who uses Amazon Aurora?
- Is Amazon Aurora any good?
- What does Amazon Aurora do?

