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My comment from TFA. Context: Paul Querna correctly pointed out that Cassandra has had Hadoop integration since 0.6, and the author replied that Cassandra was
by jbellis 15y ago
My comment from TFA. Context: Paul Querna correctly pointed out that Cassandra has had Hadoop integration since 0.6, and the author replied that Cassandra was complicated.
If your objection to Cassandra is "it's complicated," you have no business running Hadoop. :) How to set up a Cassandra cluster in under two minutes: http://www.screenr.com/5G6 http://www.screenr.com/5G6
If on the other hand you simply made statements like "Mongo is the first NoSQL to nail painless Hadoop and Pig integration" without doing any research, then you should probably edit your blog post.
- rjurney 15y agoI don't have anything against Cassandra. I will take a look at your link, and see how easy it is to integrate with Pig. I would be pretty excited to have another painless option available. The fact that Cassandra works with Whirr is very, very cool. However: Cassandra's documentation: http://wiki.apache.org/cassandra/GettingStarted http://wiki.apache.org/cassandra/GettingStarted "Cassandra is an advanced topic, and while work is always underway to make things easier, it can still be daunting to get up and running for the first time." Change your docs, or demonstrate how to one-liner push data to Cassandra, and I will happily update my post. Shadow puppet docs do not count. Your statement about Hadoop being complex illustrates EXACTLY the problem I'm trying to solve. 'Big data' usability. ;) Amazon EMR against records in S3 with Pig is not hard. Publishing data from S3 via EMR to Mongo in Heroku... that is not hard either. Wow, suddenly 'big data' is open to anyone using Heroku. That is a big deal.