What users are saying about

Amazon EMR

24 Ratings

Amazon EMR

24 Ratings
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Score 8.3 out of 101

Cloudera Enterprise

38 Ratings
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Score 7 out of 101

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Likelihood to Recommend

Amazon EMR

If you don't have big data ..i.e petabytes of data with terabytes of data generating every day, then don't use Hadoop. Relational databases are enough for terabytes of data. Hadoop is not well suited for transactional systems or data.
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Cloudera Enterprise

Cloudera Enterprise offers the right mix of components to build a robust data platform which supports both reporting and analytics which can deal with all sorts of data.
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Pros

  • Distributed computing
  • Fault tolerant
  • Uptime
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  • Excellent management capabilities via Cloudera Manager.
  • Open source and does not restrict our data to be bound by a proprietary format.
  • Offers excellent support for data governance and auditing.
  • Has all the components that would help us build a data hub.
  • Excellent platform support offered by Cloudera.
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Cons

  • Providing user friendly tools for hdfs access
  • More simpler apis for easy access and processsing
  • Memory requirenent
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  • As any new technology, difficult to hire resources who know the solution specially in APJC to help with Lab and PoC activities.
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Likelihood to Renew

No score
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Cloudera Enterprise8.2
Based on 7 answers
Likely to renew the use in case the requirements for Cloudera remain valid. The rapid change in customer requirements and solutions that must be validated, integrated or tested changes. As the maturity of the solution increases, the requirements to renew use decrease. From a solution feature perspective by itself would probably grade 10.
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Alternatives Considered

The alternatives to EMR are mainly hadoop distributions owned by the 3 companies above. I have not used the other distributions so it is difficult to comment, but the general tradeoff is, at the cost of a longer setup time and more infra management, you get more flexible versioning and potentially faster access to newer versions of some frameworks such as Spark.
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It was the first and best Hadoop distribution when we started years ago. But the situation changed now and if given a choice, may end up choosing something else.
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Return on Investment

  • It was obviously cheaper and convenient to use as most of our data processing and pipelines are on AWS. It was fast and readily available with a click and that saved a ton of time rather than having to figure out the down time of the cluster if its on premises.
  • It saved time on processing chunks of big data which had to be processed in short period with minimal costs. EMR solved this as the cluster setup time and processing was simple, easy, cheap and fast.
  • It had a negative impact as it was very difficult in submitting the test jobs as it lags a UI to submit spark code snippets.
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  • Improvements request would take a while.
  • Fast bug fixes and stability in releases are great.
  • Migration to other platforms would not be that easy if you start using proprietary tools.
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Pricing Details

Amazon EMR

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Cloudera Enterprise

General
Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details