Welcome!

News Feed Item

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 http://rapidminer.com/leader-gartners-magic-quadrant-advanced-analytics/.

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 www.rapidminer.com.

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

Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2584096

Add to Digg Bookmark with del.icio.us Add to Newsvine

Media Contact:
Mariah Torpey
Email Contact
+1 781-418-2404

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering m...
Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, and is gaining rapid adoption in enterprises. However, Kubernetes may seem intimidating and complex ...
In his session at 21st Cloud Expo, Michael Burley, a Senior Business Development Executive in IT Services at NetApp, described how NetApp designed a three-year program of work to migrate 25PB of a major telco's enterprise data to a new STaaS platform, and then secured a long-term contract to manage and operate the platform. This significant program blended the best of NetApp’s solutions and services capabilities to enable this telco’s successful adoption of private cloud storage and launching ...
In his general session at 21st Cloud Expo, Greg Dumas, Calligo’s Vice President and G.M. of US operations, discussed the new Global Data Protection Regulation and how Calligo can help business stay compliant in digitally globalized world. Greg Dumas is Calligo's Vice President and G.M. of US operations. Calligo is an established service provider that provides an innovative platform for trusted cloud solutions. Calligo’s customers are typically most concerned about GDPR compliance, application p...
In a recent survey, Sumo Logic surveyed 1,500 customers who employ cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). According to the survey, a quarter of the respondents have already deployed Docker containers and nearly as many (23 percent) are employing the AWS Lambda serverless computing framework. It’s clear: serverless is here to stay. The adoption does come with some needed changes, within both application development and operations. Tha...
Digital transformation is about embracing digital technologies into a company's culture to better connect with its customers, automate processes, create better tools, enter new markets, etc. Such a transformation requires continuous orchestration across teams and an environment based on open collaboration and daily experiments. In his session at 21st Cloud Expo, Alex Casalboni, Technical (Cloud) Evangelist at Cloud Academy, explored and discussed the most urgent unsolved challenges to achieve f...
You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today's application ...
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making r...
As you move to the cloud, your network should be efficient, secure, and easy to manage. An enterprise adopting a hybrid or public cloud needs systems and tools that provide: Agility: ability to deliver applications and services faster, even in complex hybrid environments Easier manageability: enable reliable connectivity with complete oversight as the data center network evolves Greater efficiency: eliminate wasted effort while reducing errors and optimize asset utilization Security: imple...
The 22nd International Cloud Expo | 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo | DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding busin...
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.