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RapidMiner Speeds Delivery of Predictive Analytics With New Platform-as-a-Service Offering

Visionary Leader Now Offers Hosted, Fully-Managed Version of RapidMiner Server, Allowing More Organizations to Easily Adopt Advanced Analytics

BOSTON, MA -- (Marketwired) -- 05/06/14 -- Pioneering predictive analytics leader RapidMiner today announced a new Platform-as-a-Service (PaaS) version of its RapidMiner Server solution. The professionally-deployed and fully-managed service, hosted on Amazon Web Services, will allow a greater range of organizations to reap the benefits of predictive analytics.

RapidMiner Server is a key part of the company's predictive analytics offering that enables members of disparate functional areas -- such as business analysts, line of business executives and IT -- to fully realize the business value of predictive analytics. Users can schedule the execution of resource intensive processes, share models and seamlessly integrate predictive analytics with any other business application.

As more organizations move their data to the cloud, they are seeking the same levels of agility, scalability and lower cost of ownership for advanced analytics applications. RapidMiner Server PaaS meets these emerging demands by delivering the robust functionality of its on-premise Server solution as a managed service. By eliminating the need to dedicate internal resources to purchase, install and manage hardware and software, organizations can focus on getting the most out of their data.

RapidMiner Server PaaS is managed by a team of RapidMiner experts, who perform all installs, configurations, backups, maintenance, monitoring, tuning and updates. The hosted model delivers high scalability and flexibility, providing customers with a seamless growth path and a la carte server and configuration options to fit specific data analysis requirements. Additional benefits of the new RapidMiner Server PaaS include:

  • Rapid deployment - RapidMiner Server PaaS can be installed and ready within minutes, dramatically expediting the rollout of an implementation.
  • Lowered Total Cost of Ownership (TCO) - By removing the need to develop server management expertise internally, customers lower their TCO.
  • High-throughput access to Amazon Relational Database Service (RDS) - RapidMiner Server PaaS customers hosting Amazon RDS on the same AWS infrastructure benefit from rapid data transfer rates. Amazon RDS supports MySQL, Oracle, Microsoft SQL Server and PostgreSQL database engines.
  • Programmability - RapidMiner Server offers programmable options such as scheduling, triggers and APIs.

"Organizations today are faced with making sense of massive amounts of data," said Ingo Mierswa, CEO of RapidMiner. "Delivery models like PaaS allow them to focus on unleashing the full potential of advanced analytics by reducing the complexity and costs associated with procuring, configuring and managing IT infrastructure."

RapidMiner is a recognized leader in advanced and predictive analytics and was recently positioned by Gartner, Inc. in the Leaders quadrant of the first "Gartner Magic Quadrant for Advanced Analytics Platforms," published February, 19, 2014.(1) The report is available at

Pricing and availability
RapidMiner Server PaaS is available for the Professional and Professional Plus editions. Pricing and additional product details are available from the RapidMiner enterprise sales team.

About RapidMiner
Pioneering predictive analytics leader RapidMiner is redefining how business analysts use all kinds of data, including big data, to predict the future. With an open source heritage, RapidMiner is one of today's most widely known and used analytics platforms, providing powerful solutions for a wide variety of industries. For more information, visit

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. 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.

(1) Gartner "Magic Quadrant for Advanced Analytics Platforms," by Gareth Herschel, Alexander Linden, and Lisa Kart, February 19, 2014

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