Hbase vs. ScyllaDB
A side-by-side comparison based on G2 review data.
| Metric | Hbase | ScyllaDB |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 114 | 429 |
| Ease of use | 7.9 | 8.8 |
| Ease of setup | 7.7 | 8.5 |
| Quality of support | 7.9 | 8.8 |
| Meets requirements | 8.4 | 9.0 |
| NPS | 34.951456 | 67.058824 |
| Small Business | 21.9% | 41.7% |
| Mid-Market | 26.3% | 29.6% |
| Enterprise | 51.8% | 28.7% |
| Total page views | 64 | 1,114 |
| Total LLM citations | 60 | 3,096 |
Hbase
A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.
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