Azure Table Storage vs. ScyllaDB
A side-by-side comparison based on G2 review data.
| Metric | Azure Table Storage | ScyllaDB |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 17 | 429 |
| Ease of use | 8.7 | 8.8 |
| Ease of setup | 8.7 | 8.5 |
| Quality of support | 8.4 | 8.8 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 41.176471 | 67.058824 |
| Small Business | 52.9% | 41.7% |
| Mid-Market | 17.6% | 29.6% |
| Enterprise | 29.4% | 28.7% |
| Total page views | 101 | 1,114 |
| Total LLM citations | 64 | 3,096 |
Azure Table Storage
Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.
- Data Storage
- Cost Efficiency
- Efficiency
- Usability
- Integrations
- Features
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