SAP Combines In-Memory Engine With Hadoop Posted on : Sep 03 - 2015

 A new in-memory query engine designed to boost interactive analytics capabilities on Hadoop has been added to SAP HANA along with other new cloud platform services.

SAP HANA Vora software released this week aims to leverage and extend the Apache Spark execution framework to boost the performance of Hadoop. The query engine is designed to target distributed data to provide contextual awareness while improving “business process awareness” across enterprise applications and analytics, the company said Tuesday (Sept. 1).

Vora aims to extend in-memory computing to distributed data along with online analytical processing (OLAP) for businesses within the Hadoop ecosystem. The software is also designed to expand access to data as a way to combine corporate and Hadoop data. Hence, the company is pitching Vora as a way to “bridge the gap between corporate data and big data.”

The mash-up capability based on the Spark SQL data source API is intended to let users create projections from enterprise data sources to pump up datasets. Spark SQL semantics also can be used for “drill-down” analysis.

Vora is targeted at the financial services, healthcare, manufacturing and telecommunications sectors, SAP said. Among the possible use cases for Vora are identifying and mitigating risk and fraud by spotting irregularities in financial transactions and customer data.

Another is optimizing bandwidth and improving quality of service by analyzing traffic patterns to avoid network bottlenecks. Finally, Vora is promoted as a platform for scheduling preventive maintenance or improving product recalls by combining and analyzing records on materials and services along with supply chain sensor data.  View more