Vora is a bridge between SAP HANA and Hadoop, and as such there are many INTERESTING use cases.

One straightforward use case is around DATA tiering for existing SAP customers. It will be possible to use commodity Hadoop clusters to store colder data for SAP ERP, like sales documents, pricing and billing conditions. These require occasional analysis and are read-only. We expect SAP to adjust its data tiering strategy for SAP S/4HANA to include Vora.

But as has been the case for SAP HANA, whilst those straightforward use cases are good, SAP HANA Vora is capable of much more exciting and differentiating things.

We are working with customers on such use cases as analyzing huge amounts of MANUFACTURING test data in order to make better real-time packaging decisions, and analyzing fitness data from connected devices in real-time.

Where Vora is PARTICULARLY interesting is when you need to “bring compute to the data” – running complex algorithms against in-memory data.

In addition, a lot of customers will do a straight rip-and-replace of Teradata with HANA and Vora, because it is substantially more cost-effective and an order of magnitude faster.

Vora is a bridge between SAP HANA and Hadoop, and as such there are many interesting use cases.

One straightforward use case is around data tiering for existing SAP customers. It will be possible to use commodity Hadoop clusters to store colder data for SAP ERP, like sales documents, pricing and billing conditions. These require occasional analysis and are read-only. We expect SAP to adjust its data tiering strategy for SAP S/4HANA to include Vora.

But as has been the case for SAP HANA, whilst those straightforward use cases are good, SAP HANA Vora is capable of much more exciting and differentiating things.

We are working with customers on such use cases as analyzing huge amounts of manufacturing test data in order to make better real-time packaging decisions, and analyzing fitness data from connected devices in real-time.

Where Vora is particularly interesting is when you need to “bring compute to the data” – running complex algorithms against in-memory data.

In addition, a lot of customers will do a straight rip-and-replace of Teradata with HANA and Vora, because it is substantially more cost-effective and an order of magnitude faster.