SAP HANA
BEST PRACTICES GUIDE
DRAFT VERSION - CONFIDENTIAL USE ONLY
Dr. Tristan Daude, Product Manager
INTRODUCTION
SAP HANA is a new and innovative in-memory database platform and SAP’s answer to the question on how to
analyse Big Data in near real time. HANA takes full advantage of all-new hardware technologies by combining
columnar data storage, massively parallel processing of modern CPUs and in-memory computing. This puts
HANA in a position to be able to support numerous use cases in the real-time analytics space. Above that, SAP
HANA can also be deployed as the underlying database of SAP Business Suite applications.
A HANA database is identified by an unique SID. Four so-called servers form a HANA database: Name Server,
Stats Server, XS Engine and Index Server. Each of these servers has its own data and log volume. In case of
increasing workloads, a HANA database can be scaled up by adding more memory and CPUs to the local node
it’s running on.
Figure 1: SAP HANA Single Node Configuration
There is also a scale-out option which works through adding additional nodes leading a single database being
spread across multiple nodes.
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