A side-by-side comparison of Hadoop vs. SQL including price, features, customer review scores, and more.

Looking for a primer on the classic Big Data Inmon vs Kimball debate? Check out our comprehensive breakdown in this blog post.

While Hadoop has proved its power for scalable storage and processing of Big Data, it may not be enterprise-ready when it comes to security. Hortonworks, Cloudera and MapR address this...

There are several ways you can increase your ETL speed - concentrate on bottlenecks, load data incrementally, partition large tables, process only relevant data, try caching, and use parallel processing.

Learn why you should build an ETL (extract, transform and load) pipeline using Integrate.io with Heroku ETL and Hadoop.

Learn more about Apache Pig and Hadoop ETL

Buzz about Big Data has been at fever pitch for over a year now. We hear a lot about how the insights we glean will propel businesses, about emerging technologies, and...

We examine the history and capabilities of Redshift and Hadoop, and how they compare across price, performance, and ease of use.

Unstructured data does not have a predefined schema. How can your organization process this?