Qlik Predict vs. Amazon SageMaker
A side-by-side comparison based on G2 review data.
| Metric | Qlik Predict | Amazon SageMaker |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 81 | 57 |
| Ease of use | 9.1 | 8.6 |
| Ease of setup | 9.2 | 8.6 |
| Quality of support | 8.9 | 8.9 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 52.564103 | 46.296296 |
| Small Business | 31.3% | 30.9% |
| Mid-Market | 30.0% | 34.5% |
| Enterprise | 38.8% | 34.5% |
| Total page views | 107 | 401 |
| Total LLM citations | 258 | 1,606 |
Qlik Predict
Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple user experience focused on augmenting their intuition through machine intelligence. With AutoML, you can easily generate machine learning models, make predictions, and plan decisions – all within an intuitive, code-free user interface.
- Automation
- Ease of Use
- Machine Learning
- AI Integration
- Intuitive
- AI Capabilities
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