RapidminerRapidMiner, TIBCO Software, SAS and KNIME are among the leading providers of data science and machine learning products, according to the latest Gartner Magic Quadrant report.

About this Magic Quadrant report

Gartner Inc. has released its "Magic Quadrant for Data Science and Machine Learning Platforms," which looks at software products that enable expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models. According to Gartner analysts and report authors Carlie Idoine, Peter Krensky, Erick Brethenoux and Alexander Linden, "We define a data science platform as: A cohesive software application that offers a mixture of basic building blocks essential for creating all kinds of data science solutions, and for incorporating those solutions into business processes, surrounding infrastructure and products." Here are the top performers, categorized as Leaders, Challengers, Visionaries or Niche Players.

Leaders

According to the Gartner analysts, “Leaders have a strong presence and significant mind share in the data science and ML market. They demonstrate strength in depth and breadth across the full data exploration, model development and operationalization process. While providing outstanding service and support, Leaders are also nimble in responding to rapidly changing market conditions. The number of expert and citizen data scientists using Leaders’ platforms is significant and growing. Leaders are in the strongest position to influence the market’s growth and direction. They address the majority of industries, geographies, data domains and use cases, and therefore have a solid understanding of, and strategy for, this market.” 

RapidMiner

RapidMiner is based in Boston, MA. Its platform includes RapidMiner Studio, RapidMiner Server, RapidMiner Cloud, RapidMiner Real-Time Scoring and RapidMiner Radoop. “RapidMiner remains a Leader by striking a good balance between ease of use and data science sophistication,” the Gartner analysts say. “Its platform’s approachability is praised by citizen data scientists, while the richness of its core data science functionality, including its openness to open-source code and functionality, make it appealing to experienced data scientists, too.”

Tomorrow nr 3 of Data Science platform suplliers

Source: Information Management

Author: David Weldon

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