Cloudera Enterprise Review
December 18, 2017

Cloudera Enterprise Review

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
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Overall Satisfaction with Cloudera Enterprise

We used Cloudera Enterprise for a data lake in order to generate value from big data. Big data stored in the data lake is used for different data science projects like churn prediction, recommendation engines etc.
  • Stability
  • Support
  • Documentation
  • More Up to date technologies(e.g. Spark 2.2)
  • Data Science Workbench improvement
  • Data quality tools
  • Reduces costs to store data.
  • Enable data science use cases that generates revenue.
Cloudera supports Impala and Hortonworks supports LLAP and both of them are good in terms of performance. Hortonworks uses more up to date technology support in terms of supported versions.
CDH is not a replacement of RDBMS, we should think it as complementary technologies to DWH systems. CDH can be used for data lake and reduces costs too much.