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Top 20 Data Science And Machine Learning Platforms: Gartner

Mark Haranas

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: Anaconda

Anaconda ranks near the bottom for both vision and execution on Gartner’s Magic Quadrant. The Austin, Texas-based company’s Anaconda Enterprise is a data science development environment based on the interactive notebook concept that supports use of open-source Python and R-based packages. Anaconda is an innovator in the areas of model governance and scalability. It has partnerships with vendors such as Google, IBM and Microsoft to drive DSML innovation with the use of open-source technologies.

Strengths: Anaconda’s platform is trusted and popular within the coding community for both beginners and experts. The GUI is intuitive, gives access to all R and Python libraries, and offers users the flexibility to work on several IDEs of choice, including Jupyter and RStudio, Gartner said.

Weaknesses: Gartner said Anaconda users highlight compatibility and runtime issues with the platform. Non-expert users often find it challenging to keep their projects coherent when new platform or package updates are released.

 
Mark Haranas

Mark Haranas is an assistant news editor and longtime journalist now covering cloud, multicloud, software, SaaS and channel partners at CRN. He speaks with world-renown CEOs and IT experts as well as covering breaking news and live events while also managing several CRN reporters. He can be reached at mharanas@thechannelcompany.com.

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