Top 8 Hadoop Tools

Apache SparkCloudera Distribution for HadoopHortonworks Data PlatformNetezza AnalyticsHPE Ezmeral Data FabricSpark SQLAmazon EMRQueryIO
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    I like that it can handle multiple tasks parallelly. I also like the automation feature. JavaScript also helps with the parallel streaming of the library.
  2. leader badge
    I don't see any performance issues.The product as a whole is good.
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  4. Hortonworks should not be expensive at all to those looking into using it. The scalability is the key reason why we are on this platform.
  5. The need for administration involvement is quite limited on the solution.The most valuable feature is the performance.
  6. The model creation was very interesting, especially with the libraries provided by the platform.
  7. It is a stable solution. The performance is one of the most important features. It has an API to process the data in a functional manner.
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  9. The initial setup is pretty straightforward.The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions.
  10. Anyone who has even a little bit of knowledge of the solution can begin to create things. You don't have to be technical to use the solution.
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: May 2021.
479,323 professionals have used our research since 2012.