Announcing Spark 1.3

This is a really great release, I&#x27;m excited to start playing with DataFrames! One question if anyone from Databricks reads it - what about GraphX? Will it also get the same level of attention that SQL, Mlib and Spark core got recently? e.g. is adding support for Gremlin (or any other graph query languages) on the roadmap? what about an R API for GraphX? Is that planned? p.s. when is GraphX planned to exit Alpha?<p>in any case, great product, nice usage of Akka and Scala, and a very intuitive API. I feel lucky to be working with it on a daily basis.

I guess the DataFrame API needs to be spelled out for me. Does this mean RDDs will be deprecated in the future if the new DataFrame is faster? As someone who&#x27;s gateway drug into programming was R it&#x27;s been fun to watch data frames grow across programming languages. I&#x27;m a huge fan of Python&#x27;s Pandas library and very interested in Spark.

Out of curiosity, is anyone using Spark in production? We&#x27;re evaluating whether we should invest in Hadoop or Spark. They&#x27;re certainly not mutually exclusive, but I would rather invest fully in Spark than have infrastructure split between Spark and Hadoop.

Thanks for the hard work. When can we get the long-awaited ORC file support, including predicate-pushdown?

Our experience with Spark has been horrendous. Very unstable. Marginal improvements. Big hassle.<p>Would strongly advise you to consider hadoop. We also used storm and found it to be much stable.<p>Databricks makes a lot of noise though.