In December 2014, I asked whether we were at the beginning of “the end of the Hadoop bubble.” I kept updating my Hadoop bubble watch through the much-hyped IPOs of Hortonworks and Cloudera. The question was whether an open-source distributed storage technology which Google invented (and quickly replaced with better tools) could survive as a business proposition at a time when enterprises have moved rapidly to adopting the cloud and “AI”—advanced machine learning or deep learning.
In January 2019, perennially unprofitable Hortonworks closed an all-stock $5.2 billion merger with Cloudera. In May 2019, another Hadoop-based provider, MapR, announced that it would shut down if it were unable to find a buyer or a new source of funding. On June 6, 2019, Cloudera’s stock declined 43% after it cut its revenue forecast and announced that its CEO is leaving the company. Valued at $4.1 billion in 2014, Cloudera’s current market cap is $1.4 billion.
To read the entire article, please click on https://www.forbes.com/sites/gilpress/2019/07/01/big-data-is-dead-long-live-big-data-ai/#23b90d9e1b05
