It is very fast compared to other normal databases, like SQL and MySQL. It doesn't store data in tables in the back end. To load data into Essbase, we need to prepare it in a table format. When we find the data in the table, we need to verify it. This way, you can rate the data. But Essbase stores multidimensional data. We have dimensions, which means the data belongs to some company or some time period. For example, if you work for three years, your salary should be something. In this way, we prepare top-level members called dimensions. The dimension defines your position, the year, and the section you were working in the company. We get an intersection of all these dimensions for certain data, and fetching that data is very fast in Essbase compared to normal SQL. If you store this data in a normal SQL table, you need to prepare a row with your company name, employee name, employee ID, joining date, and everything, and then you need to push it into a SQL table. You can search it using your query, but here, that thing is different. Here, you can collect data using forms, reports, and we use a Microsoft tool, which is an add-in called Smart View. Using that, you would just take that data. Here, you need to just create an integration of all these dimensions, and then only you can find the data.
