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Spark SQL OverviewUNIXBusinessApplication

Spark SQL is #3 ranked solution in top Hadoop tools. IT Central Station users give Spark SQL an average rating of 8 out of 10. Spark SQL is most commonly compared to IBM Db2 Big SQL:Spark SQL vs IBM Db2 Big SQL. The top industry researching this solution are professionals from a computer software company, accounting for 31% of all views.
What is Spark SQL?
Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. There are several ways to interact with Spark SQL including SQL and the Dataset API. When computing a result the same execution engine is used, independent of which API/language you are using to express the computation. This unification means that developers can easily switch back and forth between different APIs based on which provides the most natural way to express a given transformation.
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Spark SQL Customers
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Spark SQL Video

Archived Spark SQL Reviews (more than two years old)

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it_user986637
Project Manager - Senior Software Engineer at a tech services company with 11-50 employees
Real User
A good stable and scalable solution for processing big data

What is our primary use case?

The primary use is to process big data. We were connecting into and we were applying sentiment analysis via hardware.

What needs improvement?

In the next release, maybe the visualization of some command-line features could be added.

For how long have I used the solution?

I've been using the solution for two to three weeks.

What do I think about the stability of the solution?

The stability was fine. It behaved as expected.

What do I think about the scalability of the solution?

The scalability of the solution is good.

How are customer service and technical support?

Technical support has been fine.

Which solution did I use previously and why did I switch?

We previously used Apache Hadoop.

How was the initial setup?

The initial setup…

What is our primary use case?

The primary use is to process big data. We were connecting into and we were applying sentiment analysis via hardware.

What needs improvement?

In the next release, maybe the visualization of some command-line features could be added.

For how long have I used the solution?

I've been using the solution for two to three weeks.

What do I think about the stability of the solution?

The stability was fine. It behaved as expected.

What do I think about the scalability of the solution?

The scalability of the solution is good.

How are customer service and technical support?

Technical support has been fine.

Which solution did I use previously and why did I switch?

We previously used Apache Hadoop.

How was the initial setup?

The initial setup was fine. If somebody knows what to expect it's okay.

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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