SAP Vora is an in-memory computing solution from SAP that allows to develop analytical applications from massive data sources (Big Data) and NoSQL. In this article we will introduce you to its main components and features. Furthermore, we will disclose some initial insights about its performance by using a test case developed at Clariba. Let’s start with a brief introduction.

Your business has large sets of data, maybe even tens or hundreds of terabytes? You already have SAP HANA for your enterprise data, but are now faced with the need to extract insights also from your big data scenarios? In this blog post we explain some of your options. 

A recent article in the Harvard Business Review by Thomas Davenport, professor and fellow at MIT, caught my attention. Davenport refers to the beginnings of a new era: “After Big Data” in his article Analytics 3.0. While organizations built around massive data volumes — such as Facebook, LinkedIn, eBay, Amazon and others — may be ready to move to the next wave of analytics, the full spectrum of big data capabilities is yet to be realized in the traditional organizations we work with on a daily basis.