Hey,
i'm currently working with a large amount of data, which originally comes from SQL and is prepared by myself in a lot of steps to around 370k rows with 120 columns. At the end i want to write the data to an .xlsx-file for using it afterwards. I heard that using .xlsb is also useful for big data, because it reduces the needed memory, so i tried both.
I've now experienced the following:
- Writing the data to a .xlsx-File lasts about 8 min and returns a 190MB output (with Alteryx Workflow and Analytic App)
- Writing the data to a .xlsb-File lasts about 39 min and returns a 110MB output (with Alteryx Workflow)
- Writing the data to a .xlsb-File via an Analytic App leads to an incredibly long runtime, which I canceled after over an hour
Can anyone explain why Alteryx has such problems with .xlsb and are there any workarounds to deal with it? Since using an Anlaytic App is a must have, but a runtime in this dimension is not acceptable.
Thanks & best regards,
Mathias