SAP High-Performance Analytic Appliance (HANA) is a high-performance real-time data computing platform launched by SAP in June 2011. The platform leverages the memory computing technology, which enables users to directly query and analyze a large quantity of real-time business data.
SAP HANA has the following features:
SAP HANA data is stored in the in-memory database (IMDB), which features rapid data input/output (I/O). Success stories show that the data processing rate provided by SAP HANA is 1,000 or even 10,000 times faster than that provided by customers' original database systems.
OLAP is a main application in data warehouse (DWH) systems. It supports complex analysis, focuses on decision support, and provides query results that are easy to understand.
OLTP is a main application of traditional relational databases. It processes basic and routine transactions, such as banking transactions.
Structured data is a type of information represented using a unified structure, such as digits and symbols. The other data that cannot be represented using a unified structure is called unstructured data, such as texts, images, audio, and HTML.
The application software includes data replication (DR) and business intelligence (BI).
Figure 1 shows the SAP HANA architecture.
SAP HANA applies to following scenarios: