Google Cloud BigQuery vs. Apache Parquet
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud BigQuery | Apache Parquet |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 1,223 | 27 |
| Ease of use | 8.9 | 8.1 |
| Ease of setup | 8.9 | 7.6 |
| Quality of support | 8.6 | 8.3 |
| Meets requirements | 9.0 | 8.7 |
| NPS | 67.744755 | 46.153846 |
| Small Business | 27.7% | 29.6% |
| Mid-Market | 34.3% | 48.1% |
| Enterprise | 38.1% | 22.2% |
| Total page views | 5,950 | 70 |
| Total LLM citations | 27,007 | 49 |
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
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.