Google Cloud Memorystore vs. ScyllaDB
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Memorystore | ScyllaDB |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 48 | 429 |
| Ease of use | 8.9 | 8.8 |
| Ease of setup | 9.1 | 8.5 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 60 | 67.058824 |
| Small Business | 37.5% | 41.7% |
| Mid-Market | 35.4% | 29.6% |
| Enterprise | 27.1% | 28.7% |
| Total page views | 25 | 1,114 |
| Total LLM citations | 607 | 3,096 |
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.
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