Amazon SageMaker vs. Cloudera
A side-by-side comparison based on G2 review data.
| Metric | Amazon SageMaker | Cloudera |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 57 | 205 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.6 | 8.4 |
| Quality of support | 8.9 | 8.4 |
| Meets requirements | 8.9 | 8.9 |
| NPS | 46.296296 | 45.641026 |
| Small Business | 30.9% | 34.3% |
| Mid-Market | 34.5% | 27.5% |
| Enterprise | 34.5% | 38.2% |
| Total page views | 401 | 964 |
| Total LLM citations | 1,606 | 1,693 |
Amazon SageMaker
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment.
- Ease of Use
- Implementation Ease
- Model Management
- Time-Saving
- Features
- Fast Processing
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