MapR and SAP share a common belief and vision about making big data analytics enterprise- ready, both at the platform and compute engine layer. In that regard, we are pleased to integrate and support SAP HANA Vora 1.3 and believe that it offers a complete solution for all types of big data analytic use cases. As you probably know, Vora is based on Spark and needs an underlying Spark platform to support these different analytic use cases. MapR has been a leader in offering Spark as part of the MapR Converged Data Platform since the early days of Spark; in fact, MapR has shipped 8 releases of the full Spark stack since 2014.
The 1.3 release of SAP HANA Vora represents a new direction for big data analytics with the vision of having a single in-memory compute solution that delivers insights across a variety of data types including JSON, time-series, graph, and relational. The benefit to this approach is that multiple data types can be accommodated within the same data modeler, which implies a simplified architecture.
We are also pleased to see SAP HANA Vora 1.3 ship with disaster recovery capabilities at the compute engine layer. Metadata persistence is enabled by a distributed transaction log that can be recovered when needed. This allows for recovery across the entire data model, in case of failures.
For disaster recovery, the MapR Platform provides capabilities such as mirroring, replication, and consistent, point-in-time snapshots, which allow for fidelity and protection of critical data. SAP HANA Vora 1.3 also ships with new capabilities around enterprise-grade security. The MapR Platform supports unified security through capabilities such as granular access controls, and other key data management features such as volumes and snapshots.
Vora 1.3 also expands on its integration with SAP HANA.