Azure Databricks vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Azure Databricks | Cloudera |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 240 | 205 |
| Ease of use | 8.9 | 8.6 |
| Ease of setup | 8.9 | 8.4 |
| Quality of support | 8.7 | 8.4 |
| Meets requirements | 9.0 | 8.9 |
| NPS | 68.691589 | 45.641026 |
| Small Business | 25.1% | 34.3% |
| Mid-Market | 27.6% | 27.5% |
| Enterprise | 47.3% | 38.2% |
| Total page views | 404 | 964 |
| Total LLM citations | 1,981 | 1,693 |
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
Cloudera
Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights.
- Ease of Use
- Scalability
- Security
- Features
- Performance
- Data Management