Azure Databricks vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 240 | 1,223 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 8.9 | 8.9 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 9.0 | 9.0 |
| NPS | 68.691589 | 67.744755 |
| Small Business | 25.1% | 27.7% |
| Mid-Market | 27.6% | 34.3% |
| Enterprise | 47.3% | 38.1% |
| Total page views | 404 | 5,950 |
| Total LLM citations | 1,981 | 27,007 |
Azure Databricks
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala.
- Ease of Use
- Features
- Integrations
- Speed
- Scaling
- Analytics
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