Apache Parquet vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Apache Parquet | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 27 | 1,223 |
| Ease of use | 8.1 | 8.9 |
| Ease of setup | 7.6 | 8.9 |
| Quality of support | 8.3 | 8.6 |
| Meets requirements | 8.7 | 9.0 |
| NPS | 46.153846 | 67.744755 |
| Small Business | 29.6% | 27.7% |
| Mid-Market | 48.1% | 34.3% |
| Enterprise | 22.2% | 38.1% |
| Total page views | 70 | 5,950 |
| Total LLM citations | 49 | 27,007 |
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 BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability