The Unique Architecture of the SAP Data Lake

SAP launched HANA Data Lake in April 2020, intending to provide users with an advanced as well as a very cost-effective data storage repository. The complete package consists of a native storage extension and an SAP Data Lake that is standard across all models and versions.


The architecture of the SAP Data Lake is unique and stands out from other forms of data lakes. Businesses have the option to store data that is frequently used and accessed (hot data) segregated from data that is not used much (warm data) in the Native Storage Extension (NSE) of SAP HANA.

The SAP Data Lake may be visualized as a pyramid with three distinct layers.

On the top part of the pyramid is space offered to businesses to store the data which is critical for daily operations and has to be accessed daily. Since this data has very high demand, the storing cost too is the highest among all the three segments.

The middle layer of the pyramid is for organizations to store data that is not used regularly but is not, on the other hand, insignificant enough to be deleted from the system. This data, generally referred to as warm data, is not as high-performing as the top layer and with less access rates, the cost of data storage is lower than the top layer.

The bottom layer of the pyramid is reserved for data that is very rarely used and in traditional databases, would have been deleted to make space for active data. But SAP offers rock-bottom prices in this category and organizations prefer to hold on to this data for historical purposes.   



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