Compare Netezza Analytics vs. Spark SQL

Netezza Analytics is ranked 5th in Hadoop with 2 reviews while Spark SQL is ranked 7th in Hadoop with 1 review. Netezza Analytics is rated 6.6, while Spark SQL is rated 8.0. The top reviewer of Netezza Analytics writes "A robust solution with good support, but a better GUI for database management is needed". On the other hand, the top reviewer of Spark SQL writes "A good stable and scalable solution for processing big data". Netezza Analytics is most compared with Apache Spark, Cloudera Distribution for Hadoop and Hortonworks Data Platform, whereas Spark SQL is most compared with Apache Spark, AtScale and Informatica Big Data Parser.
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Netezza Analytics Logo
743 views|484 comparisons
Spark SQL Logo
645 views|511 comparisons
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
371,355 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution.

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The stability was fine. It behaved as expected.

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Cons
The hardware has a risk of failure. They need to improve this.This product is being discontinued from IBM, and I would like to have some kind of upgrade available.The most valuable features of this solution are robustness and support.

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

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Pricing and Cost Advice
The annual licensing fees are twenty-two percent of the product cost.

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Ranking
5th
out of 24 in Hadoop
Views
743
Comparisons
484
Reviews
2
Average Words per Review
737
Avg. Rating
7.5
7th
out of 24 in Hadoop
Views
645
Comparisons
511
Reviews
1
Average Words per Review
226
Avg. Rating
8.0
Top Comparisons
Compared 41% of the time.
Compared 28% of the time.
Compared 17% of the time.
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Overview
IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.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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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
371,355 professionals have used our research since 2012.
We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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