Yes, this is not a question for spark user list.
Btw, in db world, performances depend also on which data you have and
schema you want to use.
First put a target, then evaluate technology.
Cassandra can be really fast di you put data via sstableloader or copy rather
then insert line by line.
Spark is more of an execution engine rather than a database. Hive is a data
warehouse but I still like treating it as an execution engine.
For databases, You could compare HBase and Cassandra as they both have very
wide usage and proven performance. We have used Cassandra in the past and
were
HI
HBase is pretty neat itself. But speed is not the criteria to choose Hbase
over Cassandra (or vicey versa).. Slowness can very well because of design
issues, and unfortunately it will not help changing technology in that case
:)
I would suggest you to quantify "slow"-ness in conjunction
with
Anyone in Spark as well
My colleague has been using Cassandra. However, he says it is too slow and not
user friendly/MongodDB as a doc databases is pretty neat but not fast enough
May main concern is fast writes per second and good scaling.
Hive on Spark or Tez?
How about Hbase. or anything else
