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RapidMiner Named a Leader in Gartner's 2017 Magic Quadrant for Data Science Platforms

RapidMiner Positioned in Leaders Quadrant for the Fourth Consecutive Year

RapidMiner is the global leader in open source data science.

News provided by

RapidMiner

Feb 22, 2017, 08:30 ET

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BOSTON, Feb. 22, 2017 /PRNewswire/ -- RapidMiner™, the global leader in open source data science, today announced that Gartner, Inc. has positioned RapidMiner in the leaders quadrant of the 2017 Magic Quadrant for Data Science Platforms(1).

According to Gartner "Data science, analytics, machine learning and artificial intelligence are the engines of the future. They represent a springboard for a growing number of businesses and a generation of software engineers and algorithmic business designers". Gartner estimates that "by 2020, predictive and prescriptive analytics will attract 40% of enterprises' new investment in BI and analytics technologies."

"We are thrilled to be recognized by Gartner as a leader for the fourth straight year," said Tom Wentworth, Chief Marketing Officer at RapidMiner. "We believe that recognition by Gartner validates our mission to provide a unified platform for data science without compromises. We are laser focused on the needs of data scientists who want to deliver real data science, fast and simple."

RapidMiner's unified data science platform accelerates the creation of complete analytical workflows from data prep to machine learning to deployment in a single environment, dramatically improving efficiency and shortening the time to value for data science projects. RapidMiner offers more functions than any other visual platform, plus it's open source and easily integrates with other applications and algorithms.

"Leaders have a strong presence and significant mind share in the market," states Gartner. "Resources skilled in their tools are readily available. Leaders demonstrate strength in depth and breadth across a full model development and implementation process. While maintaining a broad and long-established customer base, Leaders are also nimble in responding to rapidly changing market conditions, driven by the overwhelming interest in data science across all industries and domains."

The positioning of RapidMiner's as a leader in the Gartner 2017 Magic Quadrant for Data Science Platforms is the latest in a series of recent milestones for the company, including:

  • The release of RapidMiner 7.4, providing a 10x performance improvement for RapidMiner Studio users and introducing SparkRM, allowing RapidMiner Studio users to run parallel processes inside a Hadoop cluster.
  • Record new customer acquisition in 2016.
  • Growth of the RapidMiner Community to over 200,000 users.

A complimentary copy of the Gartner, Inc. 2017 "Magic Quadrant for Data Science Platforms" research report is available for download from the RapidMiner website.

1 Gartner Magic Quadrant for Data Science Platforms, Alexander Linden, Peter Krensky, Jim Hare, Carlie J. Idoine, Svetlana Sicular, Shubhangi Vashisth, Feb 14, 2017.

About the Magic Quadrant

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 is the global leader in open source data science. Our unified data science platform accelerates the process of creating predictive analytics models and makes it easy to embed results into business applications. A community of over 200,000 users trust RapidMiner to do real data science, fast and simple.

For more information, visit rapidminer.com.

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

SOURCE RapidMiner

Related Links

http://www.rapidminer.com

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