SAP HANA Vora Now Available

SAP SE’s newest in memory query engine, SAP HANA Vora, is now generally available, equipping enterprises with contextual analytics across all data stored in Hadoop, enterprise systems, and other distributed data sources.

“It’s a big data processing technology that we believe is needed for the future, especially in this day and age where all the enterprises are trying to go digital where data really becomes ubiquitous and everywhere,” said Ken Tsai, vice president of platform technology, product marketing, at SAP.

To facilitate distributed data processing across enterprise and Hadoop data, SAP has contributed part of the SAP HANA Vora code to the Apache Spark open source ecosystem.

The platform leverages and extends the Apache Spark execution framework to provide enriched interactive analytics on Hadoop.

“It’s a very, very fast in memory based computing engine for distributed computing,” Tsai said.

The core foundation of SAP HANA is complemented by SAP HANA Vora, which is designed to add insight across large volumes of operational and contextual data taken from enterprise applications, data warehouses, data lakes, and edge Internet of Things sensors, according to SAP.

SAP HANA Vora’s goal is to solve key big data challenges by providing data correlation for making precise contextual decisions, simplified management of big data, and online analytical processing (OLAP) modeling capabilities on Hadoop data.

“One of the things we wanted to do was to help business audiences kind of evolve all these different SQL on Hadoop engines into OLAP style workloads,” Tsai said.

Business analysts, data scientists, and IT will benefit from this platform, according to Tsai.

“We’re really trying to simplify big data ownership,” Tsai said.

For more information about SAP HANA Vora, visit