Anaconda Core vs. Amazon SageMaker
A side-by-side comparison based on G2 review data.
| Metric | Anaconda Core | Amazon SageMaker |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 240 | 57 |
| Ease of use | 8.9 | 8.6 |
| Ease of setup | 8.7 | 8.6 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.1 | 8.9 |
| NPS | 73.076923 | 46.296296 |
| Small Business | 45.4% | 30.9% |
| Mid-Market | 23.7% | 34.5% |
| Enterprise | 30.9% | 34.5% |
| Total page views | 1,234 | 401 |
| Total LLM citations | 870 | 1,606 |
Anaconda Core
Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI.
- Ease of Use
- Setup Ease
- Efficiency
- Intuitive
- Coding Ease
- User Interface
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