What users are saying about

Amazon EMR

24 Ratings

Hadoop

211 Ratings

Amazon EMR

24 Ratings
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Score 8.3 out of 101

Hadoop

211 Ratings
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Score 8 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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Hadoop

Hadoop is not for the faint of heart and is not a technology per se but an ecosystem of disparate technologies sitting on top of HDFS. It is certainly powerful but if, like me, you were handed this with no prior knowledge or experience using or administering this ecosystem the learning curve can be significant and ongoing having said that I don't think currently there are many other opensource technologies that can provide the flexibility in the "big data" arena especially for ETL or machine learning.
Mark Gargiulo profile photo

Pros

  • Ease of use and ease to setup
  • Autoscaling functionality
  • Integrated into the AWS environment
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  • Gives developers and data analysts flexibility for sourcing, storing and handling large volumes of data.
  • Data redundancy and tunable MapReduce parameters to ensure jobs complete in the event of hardware failure.
  • Adding capacity is seamless.
Andrea Krause profile photo

Cons

  • Cost overhead is a bit high
  • Limited versions of frameworks that can be used
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  • Development tools are not that friendly.
  • Hard to find hadoop resources.
Ajay Jha profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Hadoop9.6
Based on 8 answers
Hadoop is still young and evolving. There is a lot of potential and undiscovered uses for it.
Michael Reynolds profile photo

Usability

No score
No answers yet
No answers on this topic
Hadoop9.0
Based on 3 answers
I found it really useful during my academic projects. Data handling for large data sets was easy with Hadoop. It used to work really fast for bigger data sets. I found it reliable.
Tushar Kulkarni profile photo

Online Training

No score
No answers yet
No answers on this topic
Hadoop6.1
Based on 2 answers
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Bhushan Lakhe profile photo

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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Hadoop solves lot of problems (involving unstructured data and huge volumes of data ) better than traditional database systems . And it is completely free and open source ( so lots of cost savings ). Data analysis is very fast when compared to old systems, resulting in more value to the business
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Collaboration and Sharing

No score
No answers yet
No answers on this topic
Hadoop7.7
Based on 10 answers
I think Hadoop lacks sharing hence as I suggested earlier Hadoop should have more API capabilities. In one of our projects, we had to read some data node information for some analytics. We had hard time understanding protocol buffers and then actually communicate to get that data. However, it was a great learning experience for me but would have appreciated if we had awesome integration capabilities and documentation.
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Data Integration

No score
No answers yet
No answers on this topic
Hadoop8.7
Based on 10 answers
I have used Hadoop with large amounts of data structured as well as unstructured, which wasn't real time but had surprising results.
Sumant Murke profile photo

Return on Investment

  • It was easy to set up initial versions of Spark on this
  • Still used as our compute platform as its easy to manage
  • Certain times we forgot to shut down clusters and were overcharged
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  • I did not have to invest anything in particular. I was able to complete tasks much faster with Hadoop, which helped me save a lot of time.
  • When I started using Hadoop, I was trying to finish a project that was taking too long to execute. But since I was not so experienced with Hadoop, I took a long time to use it. This made me miss the deadline.
Muhammad Fazalul Rahman profile photo

Pricing Details

Amazon EMR

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

Hadoop

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