In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives. In-memory computing helps business customers, including retailers, banks and utilities, to quickly detect patterns, analyze massive data volumes on the fly, and perform their operations quickly. The drop in memory prices in the present market is a major factor contributing to the increasing popularity of in-memory computing technology. This has made in-memory computing economical among a wide variety of applications.
Some of the advantages of in-memory computing include:
The ability to cache countless amounts of data constantly. This ensures extremely fast response times for searches.
The ability to store session data, allowing for the customization of live sessions and ensuring optimum website performance.
The ability to process events for improved complex event processing
SAP S/4HANA and In-Memory Computing
SAP S/4HANA delivers high-volume online transaction processing (OLTP) and high volume real-time online analytical processing (OLAP) based on a unified data model without the redundant data layers typically required by traditional RDBMS-based systems. This reduces TCO while providing new opportunities to increase business value from existing investments.
Examples of redundant data layers are custom-built layers based on database tuning efforts such as secondary indexes, or application built-in performance accelerators such as aggregate tables or multiple general ledger versions for different managerial reporting needs. The massive simplifications of the data model and the data processing layers enable business and technological innovations on a broad scale, across all lines of business (LoBs) and industry solutions. The new application architecture simplifies system landscapes and accelerates cloud deployments on an economical scale.
SAP HANA and In-Memory Computing
SAP HANA relies on in-memory computing to quickly analyze massive amounts of data. In-memory computing is a technology that allows the processing of tremendous quantities of data in main memory to provide immediate results from analysis and transaction. The data is available for processing or analysis immediately after it is created. SAP HANA's performance is 10,000 times faster when compared to standard disks, which allows companies to analyze data in a matter of seconds instead of long hours.
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