Azure Data Lake Analytics vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 37 | 1,223 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 8.6 | 8.9 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 50 | 67.744755 |
| Small Business | 19.4% | 27.7% |
| Mid-Market | 27.8% | 34.3% |
| Enterprise | 52.8% | 38.1% |
| Total page views | 95 | 5,950 |
| Total LLM citations | 35 | 27,007 |
Azure Data Lake Analytics
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.
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