In-Memory Computing Technique

In simple terms, in-memory computation is nothing but storing and processing of data within the Random Access Memory (RAM) thereby making the entire process incredibly speed and efficient. In-memory computing engine involves dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives. The ultimate aim of businesses using this In-memory technology is that this type of computing helps them, business customers, including retailers, banks and utilities, to quickly detect patterns, analyze massive data volumes on the fly, and perform their operations faster and free from complexity. Since the RAM chips and memory chip prices drop at a random phase in the global markets, it contributes as an important factor to the increasing popularity of these in-memory computing engines and technology. This has made in-memory computing economical among a wide variety of applications.

Core Advantages of using in-memory computing engines:

• Allows vast volumes of data and information to be cached for the processing
• Improves the processing time and ensures the fast response of search engines
• Allows storage of session data and information to help the users with various customization features
• Capable of performing complex processing and instructions
• In-memory engines take advantage of in-memory processing that helps to deliver the fastest data retrieval speeds. This is a very important benefit for businesses which struggles with high-scale online transactions or timely forecasting and planning.
• In-Memory Column-based storage provides data compression up to 11 times, thus, reducing the storage space of huge data.
• This speed advantages offered by RAM storage system are further enhanced by the use of multi-core CPUs, multiple CPUs per node and multiple nodes per server in a distributed environment.

And In-memory database, by all means , is a data available in the RAM memory whereas the traditional database management systems involve storage of data in hard-disk that are slower when compared to RAM memory chips. SAP HANA In-Memory Database wastes no time in loading the data from hard disk to RAM. It provides faster access to data to multicore CPUs for information processing and analysis.

Features of In-Memory Database

The main features of SAP HANA in-memory database are,

• SAP HANA is advanced relational database that follows Hybrid In-memory technology
• SAP HANA is a combination of row and column based Object Oriented technology.
• The engine is supported by parallel processing with multicore CPU Architecture.
• The Disk-based storage in the SAP HANA still the enterprise standard and price of RAM has been declining steadily, so memory-intensive architectures will eventually replace slow, mechanical spinning disks and will lower the cost of data storage.
• SAP HANA In-Memory database is capable of reading data in 5 nanoseconds when compared to traditional databases that read memory data in 5 milliseconds. Which means the memory is accessed and data is read by HANA database are 1 million times faster than a conventional database hard disk memory reads.

As a most influencing factor, businesses desperate to analyze current data immediately in real time and do not want to wait for data until it is loaded to SAP BW system can make use of this revolutionary technology.