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SAP HANA Overview | SAP HANA Introduction | Why SAP HANA is Growing

SAP HANA, short for “High-Performance Analytic Appliance” is an in-memory; column-oriented, relational database management system developed by SAP.
Data now resides in main-memory (RAM) and no longer on a hard disk.
It is a combination of hardware and software made to process massive real time data using In-Memory computing.
It combines row-based, column-based database technology.
It’s best suited for performing real-time analytics on massive data, and developing & deploying real-time applications.
An in-memory database means all the data is stored in the memory (RAM). No time wasted in loading the data from hard-disk to RAM or storing the data in hard-disk. Everything is stored inside memory for all the time, which gives quick access ability to the CPUs while processing data.
The SAP HANA database is developed in C++ and runs on SUSE Linux Server. SAP HANA database consists of multiple servers and the most important component is the Index Server which contains SQL/MDX processor to handle query statements for database. (Learn to write queries from SQL Server training by Learn IT Training)
The speed advantages offered by this RAM storage system are further accelerated by the use of multi-core CPUs, and multiple CPUs per board, and multiple boards per server appliance.
SAP HANA is equipped with Multiengine Query Processing Environment which supports relational as well as graphical and text data within the same system. It provides features that support significant processing speed, handle huge data sizes and text mining capabilities.
Why SAP HANA is fast?

SAP HANA is an in-memory database which means all the data resides in RAM. But there is also a disc memory just for backup purpose.
With the help of technology like SLT replication, data can be moved to HANA in real time. It is also possible to copy data from SAP BW or other database into SAP HANA. You can avail SAP BW training from Learn IT Training.
In-memory computing is safe: The SAP HANA database holds the bulk of its data in memory for maximum performance, but still uses persistent storage to provide a fallback in case of failure.
After a power failure, the database can be restarted like any disk-based database and returns to its last consistent state by replaying the log since the last save point.
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