IBM Spectrum Computing vs Netezza Analytics comparison

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Executive Summary

We performed a comparison between IBM Spectrum Computing and Netezza Analytics based on real PeerSpot user reviews.

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To learn more, read our detailed Hadoop Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Mohamed Youssef
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.""The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers.""This solution is working for both VTL and tape.""Easy to operate and use.""We are satisfied with the technical support, we have no issues.""Spectrum Computing's best features are its speed, robustness, and data processing and analysis."

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"Speed contributes to large capacity.""For me, as an end-user, everything that I do on the solution is simple, clear, and understandable.""Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more.""The most valuable feature is the performance.""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 need for administration involvement is quite limited on the solution.""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."

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Cons
"We'd like to see some AI model training for machine learning.""Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud.""SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.""We have not been able to use deduplication.""This solution is no longer managing tapes correctly.""Lack of sufficient documentation, particularly in Spanish."

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"The Analytics feature should be simplified.""The most valuable features of this solution are robustness and support.""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.""The solution could implement more reporting tools and networking utilities.""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.""Administration of this product is too tough. It's very complex because of the tools which it's missing."

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Pricing and Cost Advice
  • "This solution is expensive."
  • "Spectrum Computing is one of the most expensive products on the market."
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  • "Expensive to maintain compared to other solutions."
  • "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."
  • "The annual licensing fees are twenty-two percent of the product cost."
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    Questions from the Community
    Top Answer:This solution is too expensive for a lot of our customers.
    Top Answer:The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
    Top Answer:Here are some things to consider when migrating from Netezza to AWS Redshift A. Migrating your data from Netezza to Redshift may be done using methods such as: o Use a third-party tool to export… more »
    Ranking
    7th
    out of 22 in Hadoop
    Views
    218
    Comparisons
    194
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    11th
    out of 22 in Hadoop
    Views
    235
    Comparisons
    100
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM Platform Computing
    Learn More
    IBM
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    Overview

    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.
    Sample Customers
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    A leading online advertising network
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company16%
    Financial Services Firm11%
    Computer Software Company10%
    No Data Available
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise18%
    Large Enterprise67%
    REVIEWERS
    Small Business25%
    Midsize Enterprise17%
    Large Enterprise58%
    Buyer's Guide
    Hadoop
    March 2024
    Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews while Netezza Analytics is ranked 11th in Hadoop. IBM Spectrum Computing is rated 7.8, 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 "ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with". IBM Spectrum Computing is most compared with Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.

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