In R there is a setting, utils::memory.limit(20000), to let R use a quantity of memory larger than the RAM, if needed.
The swap file on the SSD is much slower but sometimes is the only option if you want to perform a complex calculation, for example fitting a regression model with a large dataset and many variables.
For example now I need to use the package MixedModels to fit a large dataset and I can only work with around 100000 rows, but I have 2 million. The same goes for complex bayesian or survival analysis packages.
Is there any option like that on Julia with Windows?