IBM Cloud Databases for MySQL vs. Amazon MemoryDB
A side-by-side comparison based on G2 review data.
| Metric | IBM Cloud Databases for MySQL | Amazon MemoryDB |
|---|---|---|
| Overall rating | 4.7 | 4.4 |
| Review count | 14 | 22 |
| Ease of use | 9.3 | 9.3 |
| Ease of setup | 8.6 | 9.4 |
| Quality of support | 9.3 | 8.8 |
| Meets requirements | 9.5 | 9.3 |
| NPS | 84.615385 | 54.545455 |
| Small Business | 14.3% | 31.8% |
| Mid-Market | 28.6% | 27.3% |
| Enterprise | 57.1% | 40.9% |
| Total page views | 79 | 53 |
| Total LLM citations | 66 | 32 |
IBM Cloud Databases for MySQL
IBM Cloud Databases for MySQL is a fast, easy-to-use, and flexible RDBMS. As the central component of the LAMP model, it sports a number of connectors, including Python, PHP and C++ for development needs. MySQL is a popular choice because of its flexibility and vast supported ecosystem.
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.