Thank you Rohit. I sent the email to you. Thanks Oleg.
On Thu, Sep 11, 2014 at 10:51 PM, Rohit Rai <ro...@tuplejump.com> wrote: > Hi Oleg, > > I am the creator of Calliope. Calliope doesn't force any deployment > model... that means you can run it with Mesos or Hadoop or Standalone. To > be fair I don't think the other libs mentioned here should work too. > > The Spark cluster HA can be provided using ZooKeeper even in the > standalone deployment mode. > > > Can you explain what do you mean by "in memory aggregations" not being > possible. With Calliope being able to utilize the secondary indexes and > also our Stargate Indexes (Distributed lucene indexing for C*) I am sure > we can handle any scenario. Calliope is used in production at many large > organizations over very very big data. > > Feel free to mail me directly, and we can work with you to get you started. > > Regards, > Rohit > > > *Founder & CEO, **Tuplejump, Inc.* > ____________________________ > www.tuplejump.com > *The Data Engineering Platform* > > On Thu, Sep 11, 2014 at 8:09 PM, Oleg Ruchovets <oruchov...@gmail.com> > wrote: > >> 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 >>> >>> >>> >> >
