Compute

Hadoop Pioneer MapR Faces An Uncertain Future

It is no secret that the big three commercial Hadoop distributors have been running into headwinds in recent years as more workloads and data have made their way into the public cloud and that these Hadoop platform providers have spent a lot of money and time to expand their stacks beyond the basic open source Hadoop.

Store

Breaking Out of the Hadoop Cocoon

The announcement last fall that top Hadoop vendors Cloudera and Hortonworks were coming together in a $5.2 billion merger – and reports about the financial toll that their competition took on each other in the quarters leading up to the deal – revived questions that have been raised in recent years about the future of Hadoop in an era where more workloads are moving into public clouds like Amazon Web Services (AWS) that offer a growing array of services that many of the jobs that the open-source technology already does.

Compute

Hadoop Needs To Be A Business, Not Just A Platform

It is safe to say that a little more than a decade ago, when the clone of Google’s MapReduce and Google File System distributed storage and computing platform was cloned at Yahoo and offered up to the world as a way to transform the nature of data analytics at scale, that we all had much higher hopes for the emergence of platforms centered around Hadoop that would change enterprise, not just webscale, computing.