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Top 8 Hadoop Tools

Apache SparkCloudera Distribution for HadoopSpark SQLAmazon EMRHortonworks Data PlatformQueryIOHPE Ezmeral Data FabricIBM Spectrum Computing
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    Apache Spark can do large volume interactive data analysis.The solution has been very stable.
  2. Cloudera is a very manageable solution with good support.The solution is reliable and stable, it fits our requirements.
  3. Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: January 2022.
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  4. This solution is useful to leverage within a distributed ecosystem. Data validation and ease of use are the most valuable features.
  5. One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR.
  6. The data platform is pretty neat. The workflow is also really good. Hortonworks should not be expensive at all to those looking into using it.
  7. 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.
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  9. The model creation was very interesting, especially with the libraries provided by the platform.
  10. The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers. The most valuable feature is the backup capability.
Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: January 2022.
564,143 professionals have used our research since 2012.