RapidMiner moves predictive analytics to the cloud

Here is another company taking the step to move an on-premise application into the cloud in order to widen the opportunities for other businesses to use its capabilities. This time it is predictive analytics specialist, RapidMiner, which is moving its RapidMiner Server to the cloud as a hosted, Platform as a Service offering.

Hosted on Amazon Web Services, the 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 realise 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 organisations 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, organisations 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 service include rapid deployment , where the Server can be installed and ready within minutes, lowered Total Cost of Ownership by removing the need to develop server management expertise internally, high-throughput access to Amazon Relational Database Service (RDS) which supports MySQL, Oracle, Microsoft SQL Server and PostgreSQL database engines, and the availablility of programmable options such as scheduling, triggers and APIs. 

"Organisations 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."