SAP Acquires Roambi, Adds Spark Modeling - RTInsights

SAP Acquires Roambi, Adds Spark Modeling

Mobile visualization leader Roambi will be added to SAP’s cloud analytics portfolio; Spark native modeling is designed for predictive analytics without Hadoop.

Written By
Sue Walsh
Sue Walsh
Feb 17, 2016
2 minute read

SAP announced on Feb. 16 that they have acquired mobile visualization leader Roambi. The company’s suite of analytics solutions will be added to SAP’s cloud analytics portfolio to make mobile access to analytics available to everyone. The announcement was made at SAPInsider BI 2016 in Las Vegas and the Spark Summit East currently being held in New York City.

The Roambi assets will allow SAP customers, from CEOs to frontline staff, the ability to quickly and easily view, share and interact with their data anywhere from one dashboard.

The company also announced a new version of its SAP Predictive Analytics platform that promises new features like native Spark modeling. SAP Predictive Analytics 2.5, which will be available soon, is said to also have features meant to sharply increase productivity for data scientists through ensemble modeling and better integration with SAP HANA libraries. The platform allows various data sources to be collected and integrated to build any number of predictive models.

Velux A/S, which manufactures skylights and windows, said SAP is fundamental to its business model.

“We use SAP Predictive Analytics as part of our larger SAP deployment, which also includes SAP HANA, to find out when one of our products might fail,” Anders Reinhardt, head of business intelligence at VELUX A/S, said in a press release. “This not only helps from a cost-saving perspective, but it also enables us to let our customers know we might have an issue and, more important, explain how we can fix that issue. It’s about creating a better customer experience.”

The upcoming integration of Spark modeling will let customers use Spark to perform many automated predictive analysis tasks without having to deal with transfers out of the Hadoop environment, saving time and money, according to SAP.

In addition, SAP HANA Cloud 1.0 is now available, bringing cloud-based predictive analytics to developers and RESTful web services for both batch and real-time analytics.

Related: Apache Spark Use Cases, Architectures: Why Spark Is Hot


Want more? Check out our most-read content:

White Paper: How to ‘Future-Proof’ a Streaming Analytics Platform
Research from Gartner: Real-Time Analytics with the Internet of Things
E-Book: How to Move to a Fast Data Architecture
The Value of Bringing Analytics to the Edge
IoT Architectures for Edge Analytics
Operational Analytics: Five Tips for Better Decisions

Liked this article? Share it with your colleagues!

Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

Featured Resources from Cloud Data Insights

Zero Trust Is Not a Product You Buy. But It’s Not a War You Win Alone, Either
Jamie Pugh
May 23, 2026
AI Workload Accelerators: Which Gives You the Biggest Bang for the Buck?
Why Legacy Data Stacks Are Failing in the Age of AI
Denzil Wessels
May 21, 2026
The Next AI Revolution Isn’t Generative. It’s Adaptive.
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.