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IBM Spectrum Computing vs Netezza Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

IBM Spectrum Computing
Ranking in Hadoop
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
8
Ranking in other categories
Cloud Management (23rd)
Netezza Analytics
Ranking in Hadoop
10th
Average Rating
7.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Hadoop category, the mindshare of IBM Spectrum Computing is 2.6%, up from 2.2% compared to the previous year. The mindshare of Netezza Analytics is 1.4%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

Featured Reviews

Avra Jyoti Ghosh - PeerSpot reviewer
One of the best tools in the data management and services area
I mainly used Spectrum Computing for data management, governance, quality, and ETL activity Spectrum Computing's best features are its speed, robustness, and data processing and analysis.  Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the…
Shiv Subramaniam Koduvayur - PeerSpot reviewer
A robust solution with good support, but a better GUI for database management is needed
The biggest lesson that I have learned from using this solution is that a lot of evaluation should be done before starting. Also, we needed to put a lot of effort into understanding the different functions that the product offers. This allows you to best leverage the capability of the product. I would rate this solution a seven out of ten.

Quotes from Members

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

Pros

"The most valuable feature is the backup capability."
"We are satisfied with the technical support, we have no issues."
"This solution is working for both VTL and tape."
"The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management."
"Easy to operate and use."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"The need for administration involvement is quite limited on the solution."
"Speed contributes to large capacity."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."
"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."
"The most valuable feature is the performance."
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."
 

Cons

"We have not been able to use deduplication."
"This solution is no longer managing tapes correctly."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"Lack of sufficient documentation, particularly in Spanish."
"IBM's sales and support structure can be challenging."
"We'd like to see some AI model training for machine learning."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"The most valuable features of this solution are robustness and support."
"The Analytics feature should be simplified."
"The solution could implement more reporting tools and networking utilities."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
 

Pricing and Cost Advice

"Spectrum Computing is one of the most expensive products on the market."
"This solution is expensive."
"The annual licensing fees are twenty-two percent of the product cost."
"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."
"Expensive to maintain compared to other solutions."
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Top Industries

By visitors reading reviews
Financial Services Firm
40%
Computer Software Company
9%
Retailer
7%
Real Estate/Law Firm
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with IBM Spectrum Computing?
IBM's sales and support structure can be challenging. To work on an IBM deal, you often need to involve multiple specialists, each knowledgeable about only part of the product, rather than having a...
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Also Known As

IBM Platform Computing
No data available
 

Overview

 

Sample Customers

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
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Find out what your peers are saying about IBM Spectrum Computing vs. Netezza Analytics and other solutions. Updated: March 2025.
845,406 professionals have used our research since 2012.