RapidMiner Named a Leader in the 2018 Gartner Magic Quadrant for Data Science and Machine-Learning Platforms

BOSTON, Feb. 26, 2018 /PRNewswire/ -- RapidMiner, the company that delivers real data science, fast and simple, today announced that Gartner, Inc. has positioned RapidMiner in the Leaders quadrant of the 2018 Magic Quadrant for Data Science and Machine-Learning Platforms(1). According to Gartner, "Data science and machine-learning platforms enable organizations to take an end-to-end approach to building and deploying data science models."

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner's lightning fast visual workflow designer and automated modeling capabilities. RapidMiner eliminates the complexities of cutting edge data science by making it easy to use the latest machine learning algorithms and technologies like Tensorflow, Hadoop, and Spark.

"Organizations rely on data science and machine learning platforms like RapidMiner to drive revenue, reduce costs, and avoid risk," said Tom Wentworth, chief marketing officer at RapidMiner. "We believe that being recognized as a Leader for the past five years is a testament to the profound business impact that we've delivered for our customers."

Gartner states, "Leaders are in the strongest position to influence the market's growth and direction. They address all industries, geographies, data domains and use cases and, thus, have a solid understanding of, and strategy for, this market. Not only are they able to focus on executing effectively, based on current market conditions, but they also have solid and robust roadmaps to take advantage of new developments and advancing technologies in this rapidly transforming sector. They provide thought leadership and innovative differentiation, often disrupting the market in the process. Leaders are suitable vendors for most organizations to evaluate. They should not be the only vendors evaluated, but at least two are likely to be included in a typical shortlist of five to eight vendors. They provide a benchmark of high standards to which others should be compared."

A complimentary copy of the Gartner, Inc. 2018 "Magic Quadrant for Data Science Platforms and Machine-Learning Platforms" research report is available for download from the RapidMiner website.

1 – Gartner, "Magic Quadrant for Data Science and Machine-Learning Platforms," by Carlie Iodine et al, February 22, 2018. *The report was formerly titled Magic Quadrant for Data Science Platforms and Magic Quadrant for Advanced Analytics Platforms.

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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About RapidMiner

RapidMiner builds a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner's lightning fast visual workflow designer and automated modeling capabilities. RapidMiner eliminates the complexities of cutting edge data science by making it easy to use the latest machine learning algorithms and technologies like Tensorflow, Hadoop, and Spark. More than 300,000 data scientists in virtually every industry use RapidMiner products on premise or in the cloud to drive revenue, reduce costs, and avoid risks.

For more information, visit rapidminer.com.

Media Contact:
Tom Wentworth, RapidMiner
[email protected]
+1 (617) 401-7708

SOURCE RapidMiner

Related Links

http://www.rapidminer.com