All New Data Science & Machine Learning Buyer’s Guide
From the Editors of Solutions Review
The marketplace for data science and machine learning platforms is mature and crowded with a variety of solution providers, tools, and products to meet even the most advanced needs. There are companies we refer to as ‘mega-vendors’ who offer enterprise-class tools while others tout cutting-edge capabilities designed for niche verticals. Still, there are also data science and machine learning vendors that integrate with popular open-source technologies and feature robust user communities.
Solutions Review is providing this complimentary buyer’s guide offering analysis of top-16 data science and machine learning platforms.
Featuring:
- 16 profiles of the top solution providers
- The top-10 questions to ask during vendor selection
- A category overview and our own “Bottom Line” analysis
Information for this report was gathered via a meta-analysis of available online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials. Solutions Review does not endorse any vendor, product or service depicted in this publication and does not advise technology users to base their vendor selection entirely on this research.
Data Science & Machine Learning Buyer’s Guide
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