“In OneStream, the difference between Data Buffer and `api.Data.Calculate` is mainly about complexity, control, and performance. `api.Data.Calculate` is used for simple, formula-based calculations where we define expressions like Revenue minus COGS, and the system automatically processes the calculation across the cube. It is easy to use but offers limited control over individual data cells.
On the other hand, Data Buffer is used for more complex scenarios. It allows us to pull data into memory, process it cell by cell using loops and conditions, and then write it back to the cube. This gives us full control over the data and is especially useful for allocations, conditional logic, and performance optimization when working with large datasets.
So, in simple terms, `api.Data.Calculate` is best for straightforward calculations, while Data Buffer is preferred when we need detailed control and more advanced logic.”
Looks good