Hadoop Distributions: Cloudera vs. Hortonworks vs. MapR

Hadoop Distributions: Cloudera vs. Hortonworks vs. MapR

Thank you for requesting the white paper, “Hadoop Distributions: Evaluating Cloudera, Hortonworks, and MapR in Micro-benchmarks and Real-world Applications” (1 MB). This 65-page research contains 7 tables and 83 diagrams that compare the main features of the major Hadoop distributions and demonstrate performance results for 4-, 8-, 12-, and 16-node clusters—measured under 7 types of workloads.

Key take-aways:

  • Discover how cluster size affects the speed of data processing
  • Learn how clusters of different size behave under CPU and disk-bound workloads, such as Bayes, DFSIO, Hive aggregation, PageRank, Sort, TeraSort, and WordCount
  • View 83 diagrams that illustrate the overall cluster performance and performance per node in each of the seven scenarios
  • Find 5 tables that demonstrate how the amount of data changes during the MapReduce process
  • Discover the limitations that may slow down a cluster and learn how to avoid them

Please fill out the following form so that the white paper can be sent to you via e-mail.

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