Google Cloud BigTable vs. ScyllaDB
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud BigTable | ScyllaDB |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 41 | 429 |
| Ease of use | 8.7 | 8.8 |
| Ease of setup | 8.7 | 8.5 |
| Quality of support | 8.5 | 8.8 |
| Meets requirements | 9.1 | 9.0 |
| NPS | 67.567568 | 67.058824 |
| Small Business | 26.8% | 41.7% |
| Mid-Market | 41.5% | 29.6% |
| Enterprise | 31.7% | 28.7% |
| Total page views | 165 | 1,114 |
| Total LLM citations | 338 | 3,096 |
Google Cloud BigTable
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
- Cloud Storage
- Ease of Use
- Integrations
- Features
- Data Analytics
- User Interface
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