Spark SQL Other Advice

Srinivasan Sugumar
Analytics and Reporting Manager at a financial services firm with 1,001-5,000 employees
We will have a lot of big data, which is why we need it. Otherwise, the solution is not needed. The solution really depends on the size of your data, its complexity, and the analysis that you are doing. Spark is good, but it is not mandatory. Since I don't have experience in production with the solution, the best I can rate it now is a five (out of 10). View full review »
DulalMali
Big Data Analytics Practice head at BSE
We use both the on-premises and cloud deployment models. We have a relationship with Cloudera and use their distribution channels. We don't have a relationship with Apache. Spark SQL is a good product. However, users need to have the capability of implementing the correct tools and efficiencies. I'd rate the solution seven out of ten. View full review »
Piotr Kalanski
Cloud Team Leader at TCL
I would rate Spark SQL a nine out of ten. My advice would be to read Databricks books about Spark. It's a good source of knowledge. 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 »
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Seniorsoen67
Project Manager - Senior Software Engineer at a tech services company with 11-50 employees
We've just started using this solution. We were using it until recently on a research basis, just to measure the performance, the cost, and so on and so forth. Many things could be improved, but are okay up till now, I'm happy with. I would recommend the product. I would rate this solution eight out of ten. View full review »
Find out what your peers are saying about Apache, Informatica, VMware and others in Hadoop. Updated: May 2020.
419,214 professionals have used our research since 2012.