Hadoop >>>> Traditional proprietary Systems
January 19, 2015

Hadoop >>>> Traditional proprietary Systems

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Software Version


Modules Used

  • Hadoop Common
  • Hadoop Distributed File System
  • Hadoop MapReduce

Overall Satisfaction with Hadoop

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.
  • Cost Effective
  • Distributed and Fault Tolerant
  • Easily Scalable
  • 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 )
  • 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
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.
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.
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 .