Apache Parquet vs. Google Cloud BigTable
A side-by-side comparison based on G2 review data.
| Metric | Apache Parquet | Google Cloud BigTable |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 27 | 41 |
| Ease of use | 8.1 | 8.7 |
| Ease of setup | 7.6 | 8.7 |
| Quality of support | 8.3 | 8.5 |
| Meets requirements | 8.7 | 9.1 |
| NPS | 46.153846 | 67.567568 |
| Small Business | 29.6% | 26.8% |
| Mid-Market | 48.1% | 41.5% |
| Enterprise | 22.2% | 31.7% |
| Total page views | 70 | 165 |
| Total LLM citations | 49 | 338 |
Apache Parquet
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
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