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.

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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.

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Pulling Storage Together at Extreme Scale

At the height of the Hadoop era there were countless storage and analytics startups based on the Hadoop Distributed File System (HDFS), several of which were backed by venture capital firm Andreessen Horowitz, which was committed to the Hadoop and open source-driven big data startup cause when that was all the rage in 2010 until around 2014 or so.