With Oracle’s announcement of general availability of the big data appliance, it is filling in the blanks.As such, Oracle’s plan for Hadoop was competition, not for Cloudera (or Hortonworks), which featured a full Apache Hadoop platform, but EMC, which offered a comparable, appliance-based strategy that pairs Hadoop with an Advanced SQL data store; and IBM, which took a different approach by emphasizing Hadoop as an analytics platform destination enhanced with text and predictive analytics engines, and other features such as unique query languages and file systems. Oracle’s initial Hadoop blueprint lacked explicit support of many pieces of the Hadoop stack such as HBase, Hive, Pig, Zookeeper, and Avro. No more. With Oracle’s announcement of general availability of the big data appliance, it is filling in the blanks by disclosing that it is OEM’ing Cloudera’s CDH Hadoop distribution, and more importantly, the management tooling that is key to its revenue stream. For Oracle, OEM’ing Cloudera’s Hadoop offering fully fleshes out its Hadoop distribution and positions it as a full-fledged analytic platform in its own right; for Cloudera, the deal is a coup that will help establish its distribution as the reference. It is fully consistent with Cloudera’s goal to become the Red Hat of Hadoop as it does not aspire to spread its footprint into applications or frameworks. Question of acquisition Of course, whenever you put Oracle in the same sentence as OEM deal, the question of acquisition inevitably pops up. There are several reasons why an Oracle acquisition of Cloudera is unlikely.
The final piece of the trifecta will be commitments from the Accentures and Deloittes of the world to develop practices based on specific Hadoop platforms.OEM deals are important for attaining another key goal in developing the Hadoop market: defining the core stack – as we’ve ranted about previously. Just as Linux took off once a robust kernel was defined, the script will be identical for Hadoop. With IBM and EMC/MapR forking the Apache stack at the core file system level, and with niche providers like Hadapt offering replacement for HBase and Hive, there is growing variability in the Hadoop stack. However, to develop the third party ecosystem that will be vital to the development of Hadoop, a common target (and APIs for where the forks occur) must emerge. A year from now, the outlines of the market’s decision on what makes Hadoop Hadoop will become clear. The final piece of the trifecta will be commitments from the Accentures and Deloittes of the world to develop practices based on specific Hadoop platforms. For now they are still keeping their cards close to their vests. This guest post comes courtesy of Tony Baer’s OnStrategies blog. Tony is a senior analyst at Ovum.
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