How does Alteryx handle large datasets?

Alteryx is designed to handle large datasets primarily through in-memory processing, which enhances optimization and efficiency. This means that when data is loaded into Alteryx, it resides in RAM rather than being constantly read from a slower disk-based system. This approach significantly speeds up data processing and analysis because accessing data in memory is much faster than retrieving it from disk storage.

By utilizing in-memory processing, Alteryx can perform complex operations on large datasets in a fraction of the time it would take with disk-based processing methods. This capability is particularly beneficial in environments where time-sensitive decisions are critical, and it allows analysts to work with data iteratively without the lag associated with disk I/O operations.

The other methods mentioned, like splitting datasets into smaller parts or compressing files, may be valid approaches in certain contexts but do not depict the primary mechanism through which Alteryx streamlines the processing of large datasets.