SAP HANA Vora is an in-memory computing engine that is designed to make big data from Hadoop more accessible and usable for enterprises. SAP developed Vora out of SAP HANA as a way to address specific business cases involving big data. Hadoop offers lower-cost storage for vast amounts of data, but adoption initially lagged in the enterprise because the data in a data lake is unstructured and can be hard to deal with. SAP HANA Vora builds structured data hierarchies for the Hadoop data and integrates it with data from HANA to enable OLAP-style in-memory analysis on the combined data through an Apache Spark structured query language (SQL) interface.
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HANA Vora uses HANA’s in-memory database, which can perform real-time processing, and then adds an analytic layer to handle Hadoop data. This allows Vora to take the huge amounts of data stored in Hadoop and integrate it with data from enterprise systems so that developers and data analysts have instant access to the aggregated data and can make contextually-aware decisions. For example, a financial institution may be able to mitigate risk and fraud by quickly detecting anomalies in transactions and customer history data; a telecommunications company could better analyze network traffic patterns to avoid bottlenecks and improve quality of service (QoS); or a manufacturer might improve its product recall process by analyzing bill of materials (BOM), manufacturing and sensor data.
SAP HANA Vora was released in September 2015 in on-premises and cloud editions.