Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
| Product | Market Share (%) |
|---|---|
| Amazon Aurora | 2.8% |
| SQL Server | 13.2% |
| Oracle Database | 11.8% |
| Other | 72.2% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Relational Databases Tools | Dec 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Dec 29, 2025 | Download |
| Comparison | Amazon Aurora vs SQL Server | Dec 29, 2025 | Download |
| Comparison | Amazon Aurora vs Oracle Database | Dec 29, 2025 | Download |
| Comparison | Amazon Aurora vs SAP HANA | Dec 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Teradata | 4.1 | 4.2% | 88% | 83 interviewsAdd to research |
| SQL Server | 4.2 | 13.2% | 93% | 272 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 56 |
| Midsize Enterprise | 20 |
| Large Enterprise | 143 |
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high 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).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
Dow Jones, Arizona State University, Verizon, Capital One, United Nations, Nielsen, Autodesk, Fanduel
| Author info | Rating | Review Summary |
|---|---|---|
| Digital Services & Engagement Senior Manager at AXA | 5.0 | We switched from PostgreSQL to Amazon Aurora for its managed features and 99.9% SLA, significantly improving operational efficiency and reducing manpower costs by nearly 50%. However, migrating from PostgreSQL RDS posed challenges, needing improvement for easier transitions. |
| Associate Vice President - Database Management (Principal Solutions Architect) at Northbay | 4.0 | I use Amazon Aurora for its cost-effectiveness and enterprise-level features compared to MySQL and PostgreSQL. It offers high availability, up to 16 read replicas, and fast cloning. Improvement is needed in updating PostgreSQL versions and extensions. |
| Data & Solution Archtect at Enkel | 4.5 | I support customers migrating Oracle databases to Amazon Aurora, mainly in finance and services. Aurora's scalability, cost control, and tuning options are valuable, though I don’t use all features. Overall, I rate it highly for modernization projects. |
| Staff Software Engineer at Altimetrik (Deployed at FORD) | 4.0 | No summary available |
| Web Developer and IT Consultant at a educational organization with 1,001-5,000 employees | 4.0 | No summary available |
| Solution Architect at a tech vendor with 10,001+ employees | 4.5 | I found migrating to Amazon Aurora smooth and setup easy, with valuable auto-scaling and internal management features. While stability and scalability are excellent, I wish there were more quick tutorials to reduce the learning curve. |
| AWS Architect at a tech vendor with 10,001+ employees | 4.0 | No summary available |
| Aws Devops Engineer at LTIMindtree | 4.5 | No summary available |
