SAP HANA – From Relational OLAP Database to Big Data Infrastructure Norman May, Wolfgang Lehner, Shahul Hameed P., Nitesh Maheshwari, Carsten Müller, Sudipto Chowdhuri, Anil Goel SAP SE fi
[email protected] ABSTRACT and data formats [5]. Novel application scenarios address primar- SAP HANA started as one of the best-performing database engines ily a mixture of traditional business applications and deep analytics for OLAP workloads strictly pursuing a main-memory centric ar- of gathered data sets to drive business processes not only from a chitecture and exploiting hardware developments like large number strategic perspective but also to optimize the operational behavior. of cores and main memories in the TByte range. Within this pa- With the SAP HANA data platform, SAP has delivered a well- per, we outline the steps from a traditional relational database en- orchestrated, highly tuned, and low-TCO software package for push- gine to a Big Data infrastructure comprising different methods to ing the envelope in Big Data environments. As shown in figure 1, handle data of different volume, coming in with different velocity, the SAP HANA data platform is based in its very core on the SAP and showing a fairly large degree of variety. In order to make the HANA in-memory database system accompanied with many func- presentation of this transformation process more tangible, we dis- tional and non-functional components to take the next step towards cuss two major technical topics–HANA native integration points mature and enterprise ready data management infrastructures. In as well as extension points for collaboration with Hadoop-based order to be aligned with the general “definition” of Big Data, we data management infrastructures.