As covered in detail in our system requirements and this article on How does arivis handle large datasets, arivis makes extensive use of temporary storage on the hard disk as a more reliable means of storing large datasets while processing.
There are two locations for configuring default applications directories. The first is the General preferences:

Here we can find both the location for new documents, and for temporary files.
By default these locations are set to the user's Documents folder and temp folders respectively. This default is chosen by default because all MS Windows systems have these default locations. However, these locations may not be ideal for the storage and retrieval of large files created by the software. By clicking the Select... button at the end of each path the user can navigate to a new preferred save location.
Arivis recommends that users configure a dedicated internal hard drive to contain the temporary documents, or at least create a dedicated folder on a local hard drive with plenty of free space.
Of course, "plenty of free space" is a relative term. Users should ensure that there is at least 5x as much free hard disk space as the dataset they are trying to process. It is possible to reduce the amount of disk storage needed by using compression for the temporary documents, but using compression will lead to longer processing times as the software then needs to compress and decompress the data for each operation that requires access to it. Using compression for analysis documents is set in the Analysis preferences.
The Analysis preferences also contain a temporary document directory:

By default the analysis pipeline will save temporary documents to the default directory as set above in the General preferences. Again this can be set to a specific drive or folder. In our example above we are saving pipeline temporary documents to the D:\ drive.
Immediately below the directory for the analysis documents we can also find an option to use compression for those images. It is a lossless compression, meaning that no information is lost or modified through this process, but it allows users to process very large datasets that would otherwise be too large to be saved on the local hard drive. Note that using compression, while not causing any loss in data can result in significantly longer processing times as the software has to compress and decompress the files each time it writes or reads them.