Azure Machine Learning vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Azure Machine Learning | Cloudera |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 90 | 205 |
| Ease of use | 8.7 | 8.6 |
| Ease of setup | 8.6 | 8.4 |
| Quality of support | 8.8 | 8.4 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 48.275862 | 45.641026 |
| Small Business | 33.3% | 34.3% |
| Mid-Market | 26.7% | 27.5% |
| Enterprise | 40.0% | 38.2% |
| Total page views | 239 | 964 |
| Total LLM citations | 1,035 | 1,693 |
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency
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