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.
SAS won the gold medal for execution on Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms, while ranking among the middle of the pack for vision. The Cary, N.C.-based company has 4,000 worldwide employees and customers in 147 countries. SAS’ core product is its Visual Data Mining and Machine Learning (VDMML) offering, which is included in various SAS bundles around visual machine leaning, data science, science programming and data decisioning solutions. Gartner said SAS is the longest-standing leader in the Magic Quadrant, maintaining a strong position because of its understanding of the market and thought leadership in composite AI, MLOps and decision intelligence.
Strengths: SAS’ latest release offers a fully cloud-native approach where customers can leverage all capabilities in a flexible container-based architecture that runs in the cloud with integration with popular open-source tools and languages for data, modeling and model management.
Weaknesses: Gartner said SAS needs to work on its product portfolio perception. Despite clear modernization, SAS is still frequently perceived as a company of legacy software and traditional advanced analytics.