In Hadoop, people are mostly using formats like Parquet, Orc, an if not, compression libs like lzo or snappy. 
If you believe the Berkeley people (I don&#x27;t, but the sheeple do), most Spark workloads are CPU bound not IO bound. But irrespective of that, if most of your data is in a columnar data storage format, there&#x27;s no gain (only cost) in having your FS also try and compress it.
JBOD is considered best practice for Hadoop. That&#x27;s why we&#x27;re looking at RAID0 and RAID5 - we&#x27;re researchers :) Actually, MapR recommend using 3 disks in RAID0 as volumes.