Amazon MemoryDB vs. Google Cloud BigTable
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | Google Cloud BigTable |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 22 | 41 |
| Ease of use | 9.3 | 8.7 |
| Ease of setup | 9.4 | 8.7 |
| Quality of support | 8.8 | 8.5 |
| Meets requirements | 9.3 | 9.1 |
| NPS | 54.545455 | 67.567568 |
| Small Business | 31.8% | 26.8% |
| Mid-Market | 27.3% | 41.5% |
| Enterprise | 40.9% | 31.7% |
| Total page views | 53 | 165 |
| Total LLM citations | 32 | 338 |
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 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