Amazon SageMaker vs. ClearML
A side-by-side comparison based on G2 review data.
| Metric | Amazon SageMaker | ClearML |
|---|---|---|
| Overall rating | 4.3 | 4.7 |
| Review count | 57 | 13 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.6 | 8.1 |
| Quality of support | 8.9 | 9.1 |
| Meets requirements | 8.9 | 9.2 |
| NPS | 46.296296 | 84.615385 |
| Small Business | 30.9% | 53.8% |
| Mid-Market | 34.5% | 30.8% |
| Enterprise | 34.5% | 15.4% |
| Total page views | 401 | 155 |
| Total LLM citations | 1,606 | 1,097 |
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
ClearML
ClearML is an end-to-end AI platform that streamlines AI development and deployment by orchestrating workloads and optimizing infrastructure performance. The platform maximizes GPU cluster utilization and efficiency while enabling enterprises to deploy GPU-as-a-Service solutions with built-in multi-tenant architecture and flexible billing capabilities for internal cost allocation or usage-based pricing models.