P*Time provided the in-memory backbone to the SAP HANA software. SAP HANA -?P*Time:Ī lightweight, OLTP in-memory RDBMS system, acquired by SAP in 2005 when they bought Transact in Memory.
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Join this free online course to learn about the architecture and planning capabilities that SAP Enterprise Architecture Designer offers to model the four key areas of business, data, landscape, and requirements together in a single solution. MaxDB brought in the persistence (that is, what happens when the power goes off?a crucial question for an in-memory system) and backup layers to SAP HANA. Introduction to SAP Enterprise Architecture Designer. It is capable of running the SAP ERP or SAP BW, despite having very low system requirements and a fairly shallow learning curve. MaxDB is a very capable, relatively simple (when compared to some other big players such as Oracle) RDBMS system. TREX already included in-memory and columnar store attributes, which were designed to improve performance by searching data already in main memory, and already in highly optimized data structures. SAP’s search engine, a component of SAP NetWeaver since 2000.
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The database software powering SAP HANA is what’s known as a column-based RDBMS, and is a logical evolution of the following three existing technologies that were already in use at SAP: SAP HANA – TREX: Where a traditional database system might set aside a gigabyte or two of memory as a cache, SAP HANA takes this to the next level, using nearly all the server’s memory for the data, making access times nearly instantaneous. One other aspect of the system is that wherever possible, data is kept in memory, in order to speed up access time. One of the main strong points of SAP HANA is its ability to process data in parallel, cutting the initial (large) amount of data into small chunks, and then giving each chunk to a separate CPU to work on?hence the need for the large number of CPU cores. At the time, SAP indicated that this machine would be sufficient to run the eight largest clients of SAP ERP?all at the same time! For example, on May 16, 2012, IBM announced that in collaboration with SAP, they had built a machine with 100 TB of main memory. The SAP HANA box itself is a massively multi-core, multi-CPU server, with a great deal of memory?up to several terabytes.
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