Apache Spark for Azure HDInsight vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 13 | 1,223 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 8.9 | 8.9 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 8.7 | 9.0 |
| NPS | 30.769231 | 67.744755 |
| Small Business | 16.7% | 27.7% |
| Mid-Market | 58.3% | 34.3% |
| Enterprise | 25.0% | 38.1% |
| Total page views | 105 | 5,950 |
| Total LLM citations | 29 | 27,007 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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