Spark SQL Pros and Cons

Spark SQL Pros

Srinivasan Sugumar
Analytics and Reporting Manager at a financial services firm with 1,001-5,000 employees
The speed of getting data.
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DulalMali
Big Data Analytics Practice head at BSE
Overall the solution is excellent.
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Piotr Kalanski
Cloud Team Leader at TCL
The performance is one of the most important features. It has an API to process the data in a functional manner.
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Seniorsoen67
Project Manager - Senior Software Engineer at a tech services company with 11-50 employees
The stability was fine. It behaved as expected.
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reviewer1427205
Corporate Sales at a financial services firm with 10,001+ employees
It is a stable solution.
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Spark SQL Cons

Srinivasan Sugumar
Analytics and Reporting Manager at a financial services firm with 1,001-5,000 employees
Anything to improve the GUI would be helpful.
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DulalMali
Big Data Analytics Practice head at BSE
The solution needs to include graphing capabilities. Including financial charts would help improve everything overall.
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Piotr Kalanski
Cloud Team Leader at TCL
In the next update, we'd like to see better performance for small points of data. It is possible but there are better tools that are faster and cheaper.
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Find out what your peers are saying about Apache, Informatica, VMware and others in Hadoop. Updated: January 2021.
455,301 professionals have used our research since 2012.
Seniorsoen67
Project Manager - Senior Software Engineer at a tech services company with 11-50 employees
In the next release, maybe the visualization of some command-line features could be added.
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reviewer1427205
Corporate Sales at a financial services firm with 10,001+ employees
Being a new user, I am not able to find out how to partition it correctly. I probably need more information or knowledge. In other database solutions, you can easily optimize all partitions. I haven't found a quicker way to do that in Spark SQL. It would be good if you don't need a partition here, and the system automatically partitions in the best way. They can also provide more educational resources for new users.
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Find out what your peers are saying about Apache, Informatica, VMware and others in Hadoop. Updated: January 2021.
455,301 professionals have used our research since 2012.