Spark SQL Pros and Cons
Spark SQL Pros
The speed of getting data.
View full review »Overall the solution is excellent.
View full review »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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455,301 professionals have used our research since 2012.
The stability was fine. It behaved as expected.
View full review »It is a stable solution.
View full review »Spark SQL Cons
Anything to improve the GUI would be helpful.
View full review »The solution needs to include graphing capabilities. Including financial charts would help improve everything overall.
View full review »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.
View full review » 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.
In the next release, maybe the visualization of some command-line features could be added.
View full review »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.
View full review » 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.