InformationWeek's latest research, based on interviews with 374 information-management decision makers, shows that only about 4% of mainstream enterprises use Hadoop "extensively." Another 18% use it on "a limited basis," and 20% are "considering" the technology. At somewhere over $100 million in annual revenue, Cloudera isn't that much bigger. Hortonworks' $46 million in annual revenue reported Tuesday equals that of a typical car dealership. On the other hand, it's not necessarily a bad thing - or a danger to the health of the Hadoop Community, as Olson suggests - to see commercial vendors like Pivotal, IBM, and SAS adapting their software to run on core components of Hadoop that are available to all.Ĭloudera, Hortonworks, and MapR clearly have to differentiate their offerings in order to compete and win business, but this holier-than-thou posturing and infighting is a distraction. I have to agree with Curt Monash, who sizes up ODP as way for Hortonworks to "minimize the importance of any technical advantages Cloudera or MapR might have," and a "face-saving way" for IBM and Pivotal to let go of (or at least reduce the cost of maintaining) their Hadoop distributions. "There’s simply no fundamental incompatibility among the core Hadoop components shipped by the various vendors," Olson says. ![]() Cloudera co-founder and chief strategy officer Mike Olson reasoned that the open-source Apache Foundation process has ensured a stable Hadoop trunk that every Hadoop distributor builds upon. By rallying ODP members (including Hortonworks, Pivotal, IBM, SAS, and others) around ODP Core-sanctified components of Hadoop, the group hopes to focus investment and foster continuity and compatibility.Ī second camp emerged when both Cloudera and MapR declined to join ODP. ![]() One camp, led by Pivotal and Hortonworks, last week announced the Open Data Platform, describing it as "a structured way for vendors to agree on a fully integrated and validated core distribution of Apache Hadoop." That group's claim is that the Hadoop community is fragmented. ![]() The fact is, the big data market is still very small, and it's full of green products, discord, and factionalism.
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