Data science and machine learning (DSML) platform resembles platform as a service (PaaS) solution which provides tools for expert and citizen data scientists, analysts, developers, and machine learning leaders to collect, analyze, develop, monitor, and deploy data science models and ML algorithms. It combines decision-making analytics and intelligence with the necessary data to build ML & data science models and provide business solutions. It then incorporates these solutions and models in business processes, infrastructures, products, components, applications, and frameworks that enables users to make informed predictions in real time.
As part of the research “SPARK Matrix™: Data Science and Machine Learning Platform, 2022” Quadrant Knowledge Solutions conducted an in-depth analysis of major DSML platform vendors by evaluating their products, market presence, and customer value proposition. Based on the analysis, the study provides competition analysis and ranking of the leading vendors in the form of SPARK Matrix. The evaluation is based on the primary research with expert interviews, analysis of use cases, and Quadrant’s internal analysis of the overall DSML platforms market. The SPARK Matrix evaluation examined DataRobot and nineteen other vendors including Alibaba Cloud, Altair, Alteryx, Amazon Web Services, Anaconda, Cloudera, Databricks, Dataiku, Domino, Google, H2O.ai, IBM, KNIME, MathWorks, Microsoft, RapidMiner, SAS, Samsung SDS, and TIBCO Software.
Quadrant Knowledge Solutions research analyzes market dynamics, growth opportunities, emerging technology trends, and the vendor ecosystem of the global market. This research provides strategic information for technology vendors to better understand the market supporting their growth strategies and for users to evaluate different vendor capability, competitive differentiation, and market position.
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