Azure Databricks vs. Qubole
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Qubole |
|---|---|---|
| Overall rating | 4.5 | 4.0 |
| Review count | 240 | 259 |
| Ease of use | 8.9 | 8.1 |
| Ease of setup | 8.9 | 8.0 |
| Quality of support | 8.7 | 8.2 |
| Meets requirements | 9.0 | 8.6 |
| NPS | 68.691589 | 25.316456 |
| Small Business | 25.1% | 5.4% |
| Mid-Market | 27.6% | 43.6% |
| Enterprise | 47.3% | 51.0% |
| Total page views | 404 | 67 |
| Total LLM citations | 1,981 | 50 |
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
Qubole
Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole’s Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration.