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Leaders Despite Challenges: 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms

  • Writer: Maksym Lohvinenko
    Maksym Lohvinenko
  • Jun 21, 2024
  • 2 min read

Gartner recently released a comprehensive report on Data Science and Machine Learning platforms, highlighting Databricks as a leader. Notably, the report also reveals that many vendors share common challenges, which can be grouped into several categories:



Complexity/usability


This category encompasses challenges related to the complexity and usability of the platforms, which can hinder user experience and productivity. These challenges include:


  • technical complexity

  • usability issues

  • performance tuning

  • navigation and management


50% of the vendors are affected, including Alibaba Cloud, AWS, Cloudera, Databricks, Domino Data Lab, MathWorks, Microsoft, Posit, and KNIME.


Product integration/coherence


This category includes challenges related to integrating various product components and maintaining coherence across products. Key points include:


  • legacy systems

  • component overlap

  • vision development

  • design considerations


44% of vendors are affected, including Altair, Alteryx, AWS, Cloudera, Databricks, IBM, H2O.ai, and KNIME.


Target audience/specialization


This category highlights limitations in addressing the needs of specific user groups. Vendors may focus too narrowly on certain user types, leading to:


  • underserved user groups

  • focus on non-experts

  • specialization issues


33% of the vendors are affected, including Anaconda, Alteryx, Domino Data Lab, MathWorks, KNIME, and Posit.


Innovation/feature gaps


This category pertains to gaps in innovative features and the ability to keep up with cutting-edge technologies. Vendors may:


  • lag in GenAI capabilities

  • miss out on functionalities

  • develop features slowly


28% of vendors are affected, including AWS, Google, MathWorks, SAS, and Posit.


Although Databricks is present in two categories - Complexity/usability and Product integration/coherence - due to performance tuning, cluster management issues, and alignment challenges with hybrid architectures, these did not prevent it from becoming the leader of the Magic Quadrant in 2024.



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