Compare IBM Spectrum Computing vs. Netezza Analytics

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Quotes From Members

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

"This solution is working for both VTL and tape.""We are satisfied with the technical support, we have no issues.""The most valuable feature is the backup capability."

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"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.""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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"This solution is no longer managing tapes correctly.""SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.""We have not been able to use deduplication."

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"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.""The hardware has a risk of failure. They need to improve this.""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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Pricing and Cost Advice
"The annual licensing fees are twenty-two percent of the product cost."

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Questions from the Community
Top Answer: The most valuable feature is the backup capability.
Top Answer: We are not fully satisfied with this product at the moment because we are having issues with reliability. We have not been able to use deduplication. I cannot use any protocol other than VTL. We have… more »
Top Answer: We use this product to back up our data.
Top Answer: Hi, I currently have Mako appliances in production and a performance server in DR.  We are able to do our normal NZBACKUP from Mako and NZRESTORE to our performance server
out of 22 in Hadoop
Average Words per Review
out of 22 in Hadoop
Average Words per Review
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Also Known As
IBM Platform Computing
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IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

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.
Learn more about IBM Spectrum Computing
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Sample Customers
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
A leading online advertising network
Company Size
No Data Available
Small Business27%
Midsize Enterprise18%
Large Enterprise55%
Find out what your peers are saying about IBM Spectrum Computing vs. Netezza Analytics and other solutions. Updated: May 2021.
502,856 professionals have used our research since 2012.

IBM Spectrum Computing is ranked 9th in Hadoop with 3 reviews while Netezza Analytics is ranked 4th in Hadoop with 5 reviews. IBM Spectrum Computing is rated 7.4, while Netezza Analytics is rated 7.4. The top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". On the other hand, the top reviewer of Netezza Analytics writes "A high-performance solution to create reports from our data mart, but the scalability needs improvement". IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop, Red Hat CloudForms and HPE Ezmeral Data Fabric, whereas Netezza Analytics is most compared with Apache Spark and HPE Ezmeral Data Fabric. See our IBM Spectrum Computing vs. Netezza Analytics report.

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