Storage autoscaling automatically adds additional storage to nodes in a Hive or Spark cluster when it is running out of space. This prevents job failure when a task dumps an unexpectedly large amount of intermediate output. Additionally, it saves cost as one may start with a small amount of additional storage on the node and expand it only when required.