Great enterprise tool for handling large data
August 17, 2021
Great enterprise tool for handling large data
Score 9 out of 10
Vetted Review
Verified User
Modules Used
- Hadoop Common
- Hadoop Distributed File System
Overall Satisfaction with Apache Hadoop
Apache Hadoop is one of the most effective and efficient software which has been storing and processing an extremely colossal amount of data in my company for a long time now. The software Hadoop is primarily used for data collection of large amounts, storage as well as for analytics. From my experience, I have to say that Hadoop is extremely useful and has a reliable plus valid purpose.
- The various modules sometimes are pretty challenging to learn but at the same time, it has made Hadoop easy to implement and perform.
- Hadoop comprises a thoughtful file system which is called as Hadoop Distributed File System that beautifully processes all components and programs.
- Hadoop is also very easy to install so this is also a great aspect of Hadoop as sometimes the installation process is so tricky that the user loses interest.
- Customer support is quick.
- As much as I really appreciate Hadoop there are certain cons attached to it as well. I personally think that Hadoop should work attentively towards their interactive querying platforms which in my opinion is quite slow as compared to other players available in the market.
- Apart from that, a con that I have noticed is that there are many modules that exist in Hadoop so due to the higher number of modules it becomes difficult and time-consuming to learn and ace all of them.
- Data distribution.
- Machine scaling.
- Cloud processing.
- Data management.
- There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
- Hadoop is quite interesting due to its new and improved features plus innovative functions.
Different departments of my organization have been getting the benefit from Apache Hadoop as it serves the purpose of saving lives when large amounts of data is unable to be converted and processed in a timely manner from a node or a simple computer. Hadoop also has an easier process of configuration in a clustered environment. Additionally, from my experience, I have noticed that Hadoop provides great scalability and redundancy. Also, it provides enterprise-level support from a variety of vendors. Lastly, I think that a great positive fact of Hadoop is its horizontal scaling.
Do you think Apache Hadoop delivers good value for the price?
Yes
Are you happy with Apache Hadoop's feature set?
Yes
Did Apache Hadoop live up to sales and marketing promises?
Yes
Did implementation of Apache Hadoop go as expected?
Yes
Would you buy Apache Hadoop again?
Yes