Of course, Stratio Deep and Stratio Cassandra are licensed Apache 2.0. Regarding the Cassandra support, I can introduce you to someone in Stratio that can help you.
2015-02-12 15:05 GMT+01:00 Marcelo Valle (BLOOMBERG/ LONDON) < mvallemil...@bloomberg.net>: > Thanks for the hint Gaspar. > Do you know if Stratio Deep / Stratio Cassandra are also licensed Apache > 2.0? > > I had interest in knowing more about Stratio when I was working on a start > up. Now, on a blueship, it seems one of the hardest obstacles to use > Cassandra in a project is the need of an area supporting it, and it seems > people are specially concerned about how many vendors an open source > solution has to provide support. > > This seems to be kind of an advantage of HBase, as there are many vendors > supporting it, but I wonder if Stratio can be considered an alternative to > Datastax reggarding Cassandra support? > > It's not my call here to decide anything, but as part of the community it > helps to have this business scenario clear. I could say Cassandra could be > the best fit technical solution for some projects but sometimes > non-technical factors are in the game, like this need for having more than > one vendor available... > > > From: gmu...@stratio.com > Subject: Re: best supported spark connector for Cassandra > > My suggestion is to use Java or Scala instead of Python. For Java/Scala > both the Datastax and Stratio drivers are valid and similar options. As far > as I know they both take care about data locality and are not based on the > Hadoop interface. The advantage of Stratio Deep is that allows you to > integrate Spark not only with Cassandra but with MongoDB, Elasticsearch, > Aerospike and others as well. > Stratio has a forked Cassandra for including some additional features such > as Lucene based secondary indexes. So Stratio driver works fine with the > Apache Cassandra and also with their fork. > > You can find some examples of using Deep here: > https://github.com/Stratio/deep-examples Please if you need some help > with Stratio Deep do not hesitate to contact us. > > > 2015-02-11 17:18 GMT+01:00 shahab <shahab.mok...@gmail.com>: > >> I am using Calliope cassandra-spark connector( >> http://tuplejump.github.io/calliope/), which is quite handy and easy to >> use! >> The only problem is that it is a bit outdates , works with Spark 1.1.0, >> hopefully new version comes soon. >> >> best, >> /Shahab >> >> On Wed, Feb 11, 2015 at 2:51 PM, Marcelo Valle (BLOOMBERG/ LONDON) < >> mvallemil...@bloomberg.net> wrote: >> >>> I just finished a scala course, nice exercise to check what I learned :D >>> >>> Thanks for the answer! >>> >>> From: user@cassandra.apache.org >>> Subject: Re: best supported spark connector for Cassandra >>> >>> Start looking at the Spark/Cassandra connector here (in Scala): >>> https://github.com/datastax/spark-cassandra-connector/tree/master/spark-cassandra-connector/src/main/scala/com/datastax/spark/connector >>> >>> Data locality is provided by this method: >>> https://github.com/datastax/spark-cassandra-connector/blob/master/spark-cassandra-connector/src/main/scala/com/datastax/spark/connector/rdd/CassandraRDD.scala#L329-L336 >>> >>> Start digging from this all the way down the code. >>> >>> As for Stratio Deep, I can't tell how the did the integration with >>> Spark. Take some time to dig down their code to understand the logic. >>> >>> >>> >>> On Wed, Feb 11, 2015 at 2:25 PM, Marcelo Valle (BLOOMBERG/ LONDON) < >>> mvallemil...@bloomberg.net> wrote: >>> >>>> Taking the opportunity Spark was being discussed in another thread, I >>>> decided to start a new one as I have interest in using Spark + Cassandra in >>>> the feature. >>>> >>>> About 3 years ago, Spark was not an existing option and we tried to use >>>> hadoop to process Cassandra data. My experience was horrible and we reached >>>> the conclusion it was faster to develop an internal tool than insist on >>>> Hadoop _for our specific case_. >>>> >>>> How I can see Spark is starting to be known as a "better hadoop" and it >>>> seems market is going this way now. I can also see I have many more options >>>> to decide how to integrate Cassandra using the Spark RDD concept than using >>>> the ColumnFamilyInputFormat. >>>> >>>> I have found this java driver made by Datastax: >>>> https://github.com/datastax/spark-cassandra-connector >>>> >>>> I also have found python Cassandra support on spark's repo, but it >>>> seems experimental yet: >>>> https://github.com/apache/spark/tree/master/examples/src/main/python >>>> >>>> Finally I have found stratio deep: >>>> https://github.com/Stratio/deep-spark >>>> It seems Stratio guys have forked Cassandra also, I am still a little >>>> confused about it. >>>> >>>> Question: which driver should I use, if I want to use Java? And which >>>> if I want to use python? >>>> I think the way Spark can integrate to Cassandra makes all the >>>> difference in the world, from my past experience, so I would like to know >>>> more about it, but I don't even know which source code I should start >>>> looking... >>>> I would like to integrate using python and or C++, but I wonder if it >>>> doesn't pay the way to use the java driver instead. >>>> >>>> Thanks in advance >>>> >>>> >>>> >>>> >>> >>> >> > > > -- > > Gaspar Muñoz > @gmunozsoria > > > <http://www.stratio.com/> > Vía de las dos Castillas, 33, Ática 4, 3ª Planta > 28224 Pozuelo de Alarcón, Madrid > Tel: +34 91 352 59 42 // *@stratiobd <https://twitter.com/StratioBD>* > > > -- Gaspar Muñoz @gmunozsoria <http://www.stratio.com/> Vía de las dos Castillas, 33, Ática 4, 3ª Planta 28224 Pozuelo de Alarcón, Madrid Tel: +34 91 352 59 42 // *@stratiobd <https://twitter.com/StratioBD>*
