What is faster for SQL table storage, On-Heap or off-heap?

[Brandon White]

Is the read / aggregate performance better when caching Spark SQL tables
on-heap with sqlContext.cacheTable() or off heap by saving it to Tachyon?

Has anybody tested this? Any theories?