rs_atl

3 ms·

1. 1.▲
   by rs_atl 12y ago

   You have a point, but it's also a fact that lots of people use "Hadoop" interchangeably with "MapReduce". And Spark can in fact replace the Hadoop infrastructure entirely, as it's not a component of that ecosys
2. 2.▲
   by rs_atl 12y ago

   Long winded in more ways than one. I would still use Spark even if it were slower than Hadoop, just to get a sane API.
3. 3.▲
   by rs_atl 12y ago

   It can also spill to disk if needed, which is what Hadoop always does.