ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Hadoop vs Redshift

This is how Yaniv Mor’s “Hadoop vs. Redshift” ends:

We have a tie! Huh!? Didn’t Hadoop win most of the rounds? Yes, it did, but Big Data’s superheroes are better off working together as a team rather than fighting. Turn on the Hadoop-Signal when you need relatively cheap data storage, batch processing of petabytes, or processing data in non-relational formats. Call out to red-caped Redshift for analytics, fast performance for terabytes, and an easier transition for your PostgreSQL team. As Airbnb concluded in their benchmark: “We don’t think Redshift is a replacement of the Hadoop family due to its limitations, but rather it is a very good complement to Hadoop for interactive analytics”. We Agree.

I’m wondering why wasting 1337 words for an apple-to-oranges comparison.

Original title and link: Hadoop vs Redshift (NoSQL database©myNoSQL)

via: http://www.xplenty.com/uncategorized/2014/02/hadoop-vs-redshift/