Cassandra vs. Hbase
A side-by-side comparison based on G2 review data.
| Metric | Cassandra | Hbase |
|---|---|---|
| Overall rating | 4.1 | 4.2 |
| Review count | 35 | 114 |
| Ease of use | 8.1 | 7.9 |
| Ease of setup | 8.5 | 7.7 |
| Quality of support | 7.9 | 7.9 |
| Meets requirements | 8.6 | 8.4 |
| NPS | 33.333333 | 34.951456 |
| Small Business | 17.1% | 21.9% |
| Mid-Market | 34.3% | 26.3% |
| Enterprise | 48.6% | 51.8% |
| Total page views | 79 | 64 |
| Total LLM citations | 136 | 60 |
Cassandra
Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.
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.