Amazon MemoryDB vs. ScyllaDB
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | ScyllaDB |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 22 | 429 |
| Ease of use | 9.3 | 8.8 |
| Ease of setup | 9.4 | 8.5 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 54.545455 | 67.058824 |
| Small Business | 31.8% | 41.7% |
| Mid-Market | 27.3% | 29.6% |
| Enterprise | 40.9% | 28.7% |
| Total page views | 53 | 1,114 |
| Total LLM citations | 32 | 3,096 |
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.
ScyllaDB
ScyllaDB is a specialty database for workloads that require predictable performance at scale. It’s adopted by organizations that require ultra-low latency, even at millions of features or operations per second, billions of embeddings, or petabytes of storage. ScyllaDB’s shard-per-core architecture taps the full power of modern infrastructure, translating to fewer nodes, less admin, and lower costs. Over 400 companies such as Disney+, Discord, Tripadvisor, Expedia, Zillow, Starbucks, and Comcast use ScyllaDB for their toughest database challenges.
- Performance
- Speed
- Scalability
- Low Latency
- Ease of Use
- Querying