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Molap And Rolap: Which One Is Better?

OLAP is a technical methodology to give end users instant access to data

, irrespective of the size of the latter. The hardware used in this technology, i.e., OLAP Servers

; use cubes, which are basically multidimensional data representations of the data stored in warehouses. These basically comprise of two kinds of architectures relational OLAP and multidimensional OLAP. Let's take a closer look at these two in the following text.

MOLAP, or multidimensional OLAP, tools are based on the implementation of a pre-calculated data set, which is also referred to as a data cube. This data cube comprises all the answers of a defined range of questions. MOLAP is basically a more traditional means if OLAP analysis, and also the most effective. The main advantages of an OLAP server based on the MOLAP concept are quick response, as well as the ability to write back data in the data set. Further, MOLAP cubes facilitate easy execution of complex calculations, since all calculations have been pre-generated when the cube is created. Further, the cube can be derived from even massive amounts of data, leading to this type of technology being a favorite as far as OLAP servers are concerned. Some of the most common examples of MOLAP tools are Oracle (IRI) Express and Hyperion (Arbor) Essbase.

ROLAP, on the other hand, does not use pre-calculated data, and instead intercept the query and directs the question towards the standard relational database and its tables to retrieve the data needed to answer the query. And this methodology is also the reason for its primary disadvantage, i.e., its slow response time, which has a detrimental effect on the client and customer-base of the company using the same. There are also some limitations on the scalability part, depending on the architectural configuration of the technology used.


So as you can see, MOLAP scores high as compared to ROLAP in all kinds of parameters, which is the reason is the primarily used OLAP Servers

across organizations of all shapes and sizes.

by: Carlos Quijada
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