Amazon SageMaker vs. Labelbox
A side-by-side comparison based on G2 review data.
| Metric | Amazon SageMaker | Labelbox |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 57 | 48 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.6 | 9.1 |
| Quality of support | 8.9 | 9.1 |
| Meets requirements | 8.9 | 9.1 |
| NPS | 46.296296 | 66.666667 |
| Small Business | 30.9% | 45.8% |
| Mid-Market | 34.5% | 37.5% |
| Enterprise | 34.5% | 16.7% |
| Total page views | 401 | 682 |
| Total LLM citations | 1,606 | 9,701 |
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
Labelbox
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products with custom or foundation models, or using AI to automate data tasks or find business insights, Labelbox enables teams to do so effectively and quickly. The platform is used by Fortune 500 enterprises such as Walmart, P&G, Genentech, and Adobe, and hundreds of leading AI teams.
- Ease of Use
- Efficiency
- Data Labeling
- Easy Integrations
- Features
- AI Capabilities