Amazon SageMaker vs. Roboflow
A side-by-side comparison based on G2 review data.
| Metric | Amazon SageMaker | Roboflow |
|---|---|---|
| Overall rating | 4.3 | 4.7 |
| Review count | 57 | 160 |
| Ease of use | 8.6 | 9.4 |
| Ease of setup | 8.6 | 9.3 |
| Quality of support | 8.9 | 9.0 |
| Meets requirements | 8.9 | 9.2 |
| NPS | 46.296296 | 86.875 |
| Small Business | 30.9% | 77.5% |
| Mid-Market | 34.5% | 13.8% |
| Enterprise | 34.5% | 8.8% |
| Total page views | 401 | 4,410 |
| Total LLM citations | 1,606 | 30,407 |
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
Roboflow
Roboflow has everything you need to build and deploy computer vision applications. Over 1,000,000 users from businesses of every size — from startups to public companies — use the company's end-to-end platform for image and video collection, organization, annotation, preprocessing, model training, and deployment. Roboflow provides tools for each step in the computer vision deployment lifecycle and integrates with your existing solutions so you can tailor your pipeline to meet your needs.
- Ease of Use
- Efficiency
- Annotation Efficiency
- Data Labelling
- Features
- Data Management