Apache Hadoop Pros and Cons

Apache Hadoop Pros

JP
reviewer1384338
Vice President - Finance & IT at a consumer goods company with 1-10 employees
The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so.
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MB
ITexp677
IT Expert at a comms service provider with 1,001-5,000 employees
The best thing about this solution is that it is very powerful and very cheap.
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LD
reviewer860583
Data Scientist at a tech vendor with 501-1,000 employees
What comes with the standard setup is what we mostly use, but Ambari is the most important.
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Learn what your peers think about Apache Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: June 2021.
509,820 professionals have used our research since 2012.
GA
reviewer1464630
Founder & CTO at a tech services company with 1-10 employees
Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.
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YM
Yevgen Manzhulyanov
CEO at AM-BITS LLC
The ability to add multiple nodes without any restriction is the solution's most valuable aspect.
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SS
reviewer1433400
Technical Lead at a government with 201-500 employees
The performance is pretty good.
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YT
YogeshThakkar
Technical Architect at RBSG Internet Operations
The most valuable feature is the database.
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MukundMishra
Practice Lead (BI/ Data Science) at a tech services company with 11-50 employees
It's good for storing historical data and handling analytics on a huge amount of data.
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MahalingamShanmugam
User
The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics.
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AR
reviewer1282596
Co-Founder at a tech services company with 201-500 employees
The most valuable features are powerful tools for ingestion, as data is in multiple systems.
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Apache Hadoop Cons

JP
reviewer1384338
Vice President - Finance & IT at a consumer goods company with 1-10 employees
The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning.
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MB
ITexp677
IT Expert at a comms service provider with 1,001-5,000 employees
The upgrade path should be improved because it is not as easy as it should be.
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LD
reviewer860583
Data Scientist at a tech vendor with 501-1,000 employees
In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency.
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Learn what your peers think about Apache Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: June 2021.
509,820 professionals have used our research since 2012.
GA
reviewer1464630
Founder & CTO at a tech services company with 1-10 employees
From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective.
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YM
Yevgen Manzhulyanov
CEO at AM-BITS LLC
There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.
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SS
reviewer1433400
Technical Lead at a government with 201-500 employees
The solution is very expensive.
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YT
YogeshThakkar
Technical Architect at RBSG Internet Operations
It would be good to have more advanced analytics tools.
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MukundMishra
Practice Lead (BI/ Data Science) at a tech services company with 11-50 employees
The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.
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MahalingamShanmugam
User
We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.
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AR
reviewer1282596
Co-Founder at a tech services company with 201-500 employees
It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake.
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Learn what your peers think about Apache Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: June 2021.
509,820 professionals have used our research since 2012.