Amazon MemoryDB vs. Google Cloud Memorystore
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | Google Cloud Memorystore |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 22 | 48 |
| Ease of use | 9.3 | 8.9 |
| Ease of setup | 9.4 | 9.1 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 9.3 | 8.8 |
| NPS | 54.545455 | 60 |
| Small Business | 31.8% | 37.5% |
| Mid-Market | 27.3% | 35.4% |
| Enterprise | 40.9% | 27.1% |
| Total page views | 53 | 25 |
| Total LLM citations | 32 | 607 |
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.
Google Cloud Memorystore
Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.