Hadoop on Windows Azure: Hive vs. JavaScript for Processing Big Data

This study provides an overview of two out-of-the-box ways of processing big data with Hadoop on Windows Azure—Hive querying and JavaScript implementations—and compares their performance. It contains two tables and three graphs with the findings.
Why read this?

Key take-aways:

  • Compare the performance results for 8 types of queries achieved with Hive and JavaScript implementations
  • Find out how additional grouping parameters and type of an arithmetic operation affect the throughput
  • Learn about the dependency between the number of MapReduce tasks and the speed of calculations
  • Discover how the HDFS block size (8 MB, 64 MB, and 256 MB) influences performance
  • Reveal what’s new in Windows Azure HDInsight—the updated version of the service and get more details on the .NET SDK for Hadoop

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