Top 20 Data Science And Machine Learning Platforms: Gartner
From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today.
Niche Player: Alibaba Cloud
The Chinese cloud and technology conglomerate provides two software products—Platform for AI (PAI) Studio and Data Science Workshop—that together make up its core DSML platform. Alibaba’s platform emphasizes support for augmentation of certain tasks in the DSML workflow, but its platform lacks functionality and ease of use for citizen data scientists, which slows its adoption. Alibaba Cloud ranks near the bottom for both vision and execution on Gartner’s Magic Quadrant.
Strengths: Alibaba’s platform integrates well with its other offerings for data preparation, exploration, ML, augmentation and delivery. It offers drag-and-drop interactive modeling features across its platforms, which can be used by expert data scientists to support machine learning pipeline.
Weaknesses: PAI Studio and Data Science Workshop offer limited machine learning and advanced analytics capabilities, such as agent-based modeling, discrete-event modeling, support for generative adversarial networks and self-supervised learning. In addition, Alibaba’s customers are mostly in Asia-Pacific only.