MathWorks Matlab and Amazon SageMaker are advanced data analysis tools. SageMaker seems to have the upper hand with its modern cloud-first approach, integrating seamlessly with AWS for scalability.
Features: MathWorks Matlab offers comprehensive mathematical modeling capabilities, extensive toolboxes for signal processing, and control systems applications. Amazon SageMaker provides a robust machine learning environment, seamless cloud service integration, and scalability for handling large datasets.
Ease of Deployment and Customer Service: MathWorks Matlab is installed locally with strong technical support resources. Amazon SageMaker is designed for cloud deployment, offering flexibility with AWS integration and efficient support options.
Pricing and ROI: MathWorks Matlab has a higher initial setup cost with significant ROI for specialized scientific tools. Amazon SageMaker operates on a pay-as-you-go model, reducing upfront costs and offering appealing ROI for machine learning and cloud-based applications.
| Product | Market Share (%) |
|---|---|
| Amazon SageMaker | 6.0% |
| MathWorks Matlab | 1.1% |
| Other | 92.9% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 11 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 4 |
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
