Amazon Relational Database Service (RDS) vs. Amazon MemoryDB
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | Amazon MemoryDB |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 907 | 22 |
| Ease of use | 9.0 | 9.3 |
| Ease of setup | 9.0 | 9.4 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 9.1 | 9.3 |
| NPS | 66.164542 | 54.545455 |
| Small Business | 28.8% | 31.8% |
| Mid-Market | 37.5% | 27.3% |
| Enterprise | 33.7% | 40.9% |
| Total page views | 646 | 53 |
| Total LLM citations | 2,389 | 32 |
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
Amazon MemoryDB
Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use with no minimum fee. A node is the smallest building block of a MemoryDB cluster. Each node supports varying amounts of computation and memory capacity, and you can select a node type based on your needs. You are charged based on three components: on-demand instance hours per node, volume of data written to your cluster, and snapshot storage that you use.