Amazon Aurora
Reviews
Star rating
Rank in Relational Databases
Pros and cons
Pros
- Scalability
- Ease of Use
- Availability
- Performance
- Reliability
- High Availability
Cons
- Expensive
- AWS Dependency
- Feature Limitations
- Limited Database Support
- Learning Curve
- Vendor Lock-in
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 37.7% |
| Mid-Market | 33.8% |
| Enterprise | 28.5% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 6 | 3.9 |
| 2025 Q1 | 1 | 5.0 |
| 2025 Q2 | 1 | 5.0 |
| 2025 Q3 | 9 | 4.6 |
| 2025 Q4 | 1 | 4.0 |
| 2026 Q1 | 1 | 5.0 |
| 2026 Q2 | 2 | 4.5 |
Satisfaction ratings
What reviewers say
Robust Performance with Cost Challenges
“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 productio”
Scalable and Efficient, But Costly
“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 ”
Reliable for Long-Running ETL Jobs, Perfect for Nightly Batches
“Long running ETL ELT jobs fail less often than other tool. Good for night batch heavy jobs.”