Amazon Relational Database Service (RDS) vs. Google Cloud BigTable
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | Google Cloud BigTable |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 907 | 41 |
| Ease of use | 9.0 | 8.7 |
| Ease of setup | 9.0 | 8.7 |
| Quality of support | 8.8 | 8.5 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 66.164542 | 67.567568 |
| Small Business | 28.8% | 26.8% |
| Mid-Market | 37.5% | 41.5% |
| Enterprise | 33.7% | 31.7% |
| Total page views | 646 | 165 |
| Total LLM citations | 2,389 | 338 |
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.
- Ease of Use
- Scalability
- Setup Ease
- Security
- Backup Services
- Reliability
Google Cloud BigTable
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
- Cloud Storage
- Ease of Use
- Integrations
- Features
- Data Analytics
- User Interface