Ok. DataStax , Startio are required mesos, hadoop yarn other third party to get spark cluster HA.
What in case of calliope? Is it sufficient to have cassandra + calliope + spark to be able process aggregations? In my case we have quite a lot of data so doing aggregation only in memory - impossible. Does calliope support not in memory mode for spark? Thanks Oleg. On Thu, Sep 11, 2014 at 9:23 PM, abhinav chowdary < abhinav.chowd...@gmail.com> wrote: > Adding to conversation... > > there are 3 great open source options available > > 1. Calliope http://tuplejump.github.io/calliope/ > This is the first library that was out some time late last year (as i > can recall) and I have been using this for a while, mostly very stable, > uses Hadoop i/o in Cassandra (note that it doesn't require hadoop) > > 2. Datastax spark cassandra connector > https://github.com/datastax/spark-cassandra-connector: Main difference is > this uses cql3, again a great library but has few issues, also is very > actively developed by far and still uses thrift for minor stuff but all > heavy lifting in cql3 > > 3. Startio Deep https://github.com/Stratio/stratio-deep: Has lot more to > offer if you use all startio stack, Deep is for Spark, Statio Streaming is > built on top of spark streaming, Stratio meta is something similar to > sharkor sparksql and finally stratio Cassandra which is a fork of Cassandra > with advanced Lucene based indexing > > >
