SAP has added some new capabilities to SAP Vora, its in-memory distributed computing system based on Apache Spark and Hadoop.
Version 1.3 of Vora includes a number of new distributed, in-memory data-processing engines, including ones for time-series data, graph data and schema-less JSON data, that accelerate complex processing.
Common uses for the graph engine might be analyzing social graphs or supply chain graphs, said Ken Tsai, SAP’s head of product marketing for database and data management.
One application that would benefit from the new time-series engine is looking for patterns of electricity consumption in smart metering data.
, and by December last year had signed up 65 to 70 paying customers, Tsai said.
“One of the metrics we track internally is the conversion from free to paid, and we are seeing significant conversion compared to other products,” he said.
A small implementation of Vora would involve between three and 10 nodes, Tsai said.
“What’s been surprising to me is, for a lot of customers, this is already enough. They can deal with a lot of data with that,” he said.