Amazon MemoryDB vs. Google Cloud SQL
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | Google Cloud SQL |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 22 | 367 |
| Ease of use | 9.3 | 9.3 |
| Ease of setup | 9.4 | 9.3 |
| Quality of support | 8.8 | 8.9 |
| Meets requirements | 9.3 | 9.2 |
| NPS | 54.545455 | 69.859155 |
| Small Business | 31.8% | 33.2% |
| Mid-Market | 27.3% | 40.4% |
| Enterprise | 40.9% | 26.4% |
| Total page views | 53 | 820 |
| Total LLM citations | 32 | 17,069 |
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 SQL
Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.
- Database Management
- Integrations
- Easy Integrations
- Ease of Use
- Scalability
- Features