Cloudera has the widest distribution and distinguishes itself with Cloudera Impala, Cloudera Search and Sentry (all open source). It also comes with Cloudera Manager which is proprietary, but free for selected functionality.
Hortonworks distinguishes itself as being pure open source (no proprietary extensions) and being able to run on Microsoft Windows as well as Linux. Hortonworks comes with Ambari to perform functions similar to Cloudera Manager, but Ambari is open source. MapR has a number of proprietary pieces. They distinguish themselves based on performance. Of course every vendor may disagree with one or more of the characterizations that I've given above, but that's how I've come to view them. Of course, the landscape is always changing, so you'll have to evaluate the current offerings. Josh -----Original Message----- From: Hadoop Raj [mailto:hadoop...@yahoo.com] Sent: Thursday, September 12, 2013 1:20 PM To: User Subject: Cloudera Vs Hortonworks Vs MapR Hi, We are trying to evaluate different implementations of Hadoop for our big data enterprise project. Can the forum members advise on what are the advantages and disadvantages of each implementation i.e. Cloudera Vs Hortonworks Vs MapR. Thanks in advance. Regards, Raj
