In simple language, SAP HANA is an application that shows real time analytics; therefore, SAP HANA is known as a high-performance analytic appliance.
In other words, SAP HANA is an in-memory, relational database management system. The main function of this application to perform as a database server. The other functions of SAP HANA are to save, store and retrieve data according to the request performed. It makes advanced analytics possible, such as spatial data processing, streaming analytics, predictive analytics, text search, text analytics and graph data processing. Hence SAP HANA work on real results and can be easily run anywhere.
SAP HANA over Other Databases
Let’s clear up any doubt about why people should choose SAP HANA compared to traditional databases such as Oracle. The logic is very simple: SAP HANA not only performs as a database, it is more than that: a platform and a technology that also makes big data accessible.
If you think that HADOOP is another alternative of SAP HANA, then you are wrong. HADOOP works on inexpensive storage and large amounts of data; SAP HANA gives fast and real-time data accessibility for any enterprise.
Uses of SAP HANA
There is a lot that can be done with SAP HANA; here are only a few applications and work areas where we can use this application.
1) This application can easily monitor and optimize a telecommunications network.
2) It helps with optimization of the supply chain and retail.
3) It can easily detect fraud in case of a breach of security.
4) It is capable of forecasting and profitability.
There are many industries such as luxury car manufacturing, construction and biotech research that frequently use SAP HANA to improve performance, real time analysis and flexibility.
Many IT companies offer SAP HANA data services. Chetu is a US based software development company that takes on the whole responsibility for SAP HANA data services, such as integration, migration and support services. It offers customized SAP HANA solutions to those enterprises that are dealing with large amounts of complex data.