Register Login

HANA In-Memory Database and Its Advantages

Updated May 18, 2018

With advancement of technology, the data load has been increasing three dimension-ally in terms of velocity, volume as well as variety. Managing as well as quickly accessing such huge data bases require evolving technologies. The SAP HANA In-Memory Database is one such solution to managing such huge databases.

What is SAP HANA In-Memory Database?

As the name suggests, the In-Memory Database uses a technology wherein all the data collated from the source system, instead of being stored in cumbersome hard disks is stored in a RAM memory. In SAP HANA, the technology of In-Memory Database is used to store huge databases in a manner that whenever required for analysis or information processing, the data can be accessed by the CPUs within nanoseconds.


Why is the technology of SAP HANA In-Memory Database so important for businesses?

  • A technology like the SAP HANA In-Memory Database helps in removing information latency as it gives instant access to huge data pools for calculations and references.
  • This technology gives access to the most updated and latest information so that strategies can be planned based on the latest insights and trends.
  • Quick access to essential data gives businesses a competitive advantage as quick access makes way for quick calculations and informed predictions.

Primary characteristics of the SAP HANA In-Memory Database:

  • The SAP HANA In-Memory Database can read memory data in 5 nanoseconds as compared to the conventional databases that take about 5 milliseconds to read such databases.
  • The row based, column based and object oriented technology is combined in this database.
  • Parallel processing with multicore CPU architecture forms the basis of this database.

How does In-Memory Computing give a competitive advantage to the HANA platform?

  • Companies in need of real time data for precise business prospecting prefer the SAP HANA In-Memory Database as this technology helps in eliminating information latency.
  • The cost of Data Storage decreases considerably with In-Memory computing as storage of data does not require the mechanical disks which are not only expensive but slow too.
  • The column based storage of In-Memory computing makes data compression seamless and all the more precise, thus further saving storage space.
  • The use of multi-core CPUs further adds to the advantages offered by memory based storage.

The fall in memory prices in the current market is a key factor contributing to the growing acceptance of in-memory computing technology. This has made in-memory computing inexpensive when compared with a wide variety of applications.

Thus, it can be concluded by saying that when it comes to data processes and analysis, in-memory computing tools such as SAP HANA promise to deliver a step change.