Spark SQL Reviews

Filter by:Reset all filters
Industry
Loading...
Filter Unavailable
Company Size
Loading...
Filter Unavailable
Job Level
Loading...
Filter Unavailable
Rating
Loading...
Filter Unavailable
Considered
Loading...
Filter Unavailable
Order by:
Loading...
  • Date
  • Highest Rating
  • Lowest Rating
  • Review Length
DulalMali
Real User
Big Data Analytics Practice head at BSE
Feb 11 2020

What is most valuable?

Overall the solution is excellent. The solution is continuing to evolve and mature over time.

What needs improvement?

The service is complex. This is due to the fact that it's a combination of a lot of technology. The solution needs to include graphing capabilities. Including financial charts would help improve everything overall.

What's my experience with pricing, setup cost, and licensing?

The pricing of Apache is much more competitive than IBM.

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

I've also worked with Apache SQL and SAP. This solution is a much more scalable and adventurous solution. It's also faster than the others. We used to use IQ, but at the time it couldn't scale well, so we switched to IBM Appliance. Then we… more»

What other advice do I have?

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… more»
Seniorsoen67
Real User
Project Manager - Senior Software Engineer at a tech services company with 11-50 employees
Jul 17 2019

What do you think of Spark SQL?

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…

Articles

User Assessments By Topic About Spark SQL

Find out what your peers are saying about Apache, Pivotal, Informatica and others in Hadoop. Updated: February 2020.
399,540 professionals have used our research since 2012.

Spark SQL Questions

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.
BUYER'S GUIDE
Download our free Hadoop Report and find out what your peers are saying about Apache, Pivotal, Informatica, and more!