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Compare Netezza Analytics vs. Spark SQL

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Netezza Analytics Logo
296 views|185 comparisons
Spark SQL Logo
674 views|292 comparisons
Quotes From Members

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

Pros
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable.""The most valuable feature is the performance.""The need for administration involvement is quite limited on the solution."

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"Overall the solution is excellent.""The speed of getting data.""The performance is one of the most important features. It has an API to process the data in a functional manner.""It is a stable solution.""Data validation and ease of use are the most valuable features."

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Cons
"The solution could implement more reporting tools and networking utilities.""The Analytics feature should be simplified.""I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

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"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall.""Anything to improve the GUI would be helpful.""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.""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.""There should be better integration with other solutions."

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Pricing and Cost Advice
Information Not Available
"The solution is open-sourced and free."

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Questions from the Community
Top Answer: If you're still looking, we might be able to help. Take a look at https://smart-associates.biz/s...
Top Answer: Data validation and ease of use are the most valuable features.
Top Answer: There should be better integration with other solutions.
Ranking
5th
out of 22 in Hadoop
Views
296
Comparisons
185
Reviews
4
Average Words per Review
423
Rating
7.5
3rd
out of 22 in Hadoop
Views
674
Comparisons
292
Reviews
5
Average Words per Review
297
Rating
7.0
Comparisons
Learn More
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.
Offer
Learn more about Netezza Analytics
Learn more about Spark SQL
Sample Customers
A leading online advertising network
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider26%
Financial Services Firm8%
Healthcare Company6%
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise18%
Large Enterprise55%
No Data Available
Find out what your peers are saying about Netezza Analytics vs. Spark SQL and other solutions. Updated: September 2021.
542,029 professionals have used our research since 2012.

Netezza Analytics is ranked 5th in Hadoop with 3 reviews while Spark SQL is ranked 3rd in Hadoop with 5 reviews. Netezza Analytics is rated 8.0, while Spark SQL is rated 7.0. The top reviewer of Netezza Analytics writes "A high-performance solution to create reports from our data mart, but the scalability needs improvement". On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". Netezza Analytics is most compared with Apache Spark and HPE Ezmeral Data Fabric, whereas Spark SQL is most compared with IBM Db2 Big SQL, Amazon EMR, Apache Spark and Informatica Big Data Parser. See our Netezza Analytics vs. Spark SQL report.

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