Item: Apache Hadoop
Rating: 10
Author: Verified User

Overall Satisfaction with Hadoop

Use Cases and Deployment Scope

My company's new cloud based architecture is Hadoop based . It is being used across several organizations in our company . Using Hadoop our company has been able to solve many big data problems faster with very high performance.

Pros and Cons

Pros

Cost Effective
Distributed and Fault Tolerant
Easily Scalable

Cons

Cluster management and debugging is kind of not user friendly ( Doesn't has many tools )
More focus should be given to Hadoop Security
Single Master Node
More user adoption ( Even though it is increasing by each day )

Return on Investment

MapReduce jobs run way faster when compared to traditional batch processing jobs resulting in getting better value of data
Since Hadoop is free , lots of cost savings
Since it is distributed, no fear of data failures

Alternatives Considered

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.

Likelihood to Renew

Hadoop is truly a distributed, open source cloud architecture which is capable of solving many problems to which there was no efficient solution before. I would definitely recommend trying it.

Likelihood to Recommend

Hadoop is best suited for processing and analyzing unstructured and huge volumes of data . So ask yourself if the problem you are trying to solve involves unstructured data and also the volume .

Comments

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Hadoop >>>> Traditional proprietary Systems

Software Version

Modules Used