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Netezza Analytics vs Pepperdata comparison

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Netezza Analytics

Read 11 Netezza Analytics reviews
235 views|103 comparisons
76% willing to recommend
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Pepperdata

57 views|51 comparisons
Buyer's Guide
Hadoop
April 2024
Executive Summary

We performed a comparison between Netezza Analytics and Pepperdata based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
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Featured Review
Shiv Subramaniam Koduvayur
A robust solution with good support, but a better GUI for database management is needed
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Quotes From Members
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Pricing and Cost Advice
  • "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."

    • More Netezza Analytics Pricing and Cost Advice →

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    Questions from the Community
    What are the challenges faced during migrating from Netezza to AWS Redshift?
    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 »
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    Earn 20 points

    Ranking
    11th
    out of 22 in Hadoop
    Views
    235
    Comparisons
    103
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    101st
    out of 111 in Application Performance Monitoring (APM) and Observability
    Views
    57
    Comparisons
    51
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Hadoop
    April 2024
    Download Free Report
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
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    767,667 professionals have used our research since 2012.
    Comparisons
    Learn More
    IBM
    Pepperdata
    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.

    As big data stacks increase in scope and complexity, most data-driven organizations understand that automation and observability are necessary for modern real-time big data performance management. Without automation and observability, engineers and developers cannot optimize or ensure application and infrastructure performance, or keep cost under control. Pepperdata helps some of the most successful companies in the world manage their big data performance in the cloud and in the data center. These customers choose and trust Pepperdata because of three key product differentiators: autonomous optimization, full-stack observability, and cost optimization.

    Sample Customers
    A leading online advertising network
    Cloudera, Hortonworks, IBM, MapR
    Company Size
    REVIEWERS
    Small Business25%
    Midsize Enterprise17%
    Large Enterprise58%
    No Data Available
    Buyer's Guide
    Hadoop
    April 2024
    Download Free Report
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    DOWNLOAD NOW
    767,667 professionals have used our research since 2012.

    Netezza Analytics is ranked 11th in Hadoop while Pepperdata is ranked 101st in Application Performance Monitoring (APM) and Observability. Netezza Analytics is rated 7.4, while Pepperdata is rated 0.0. 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". On the other hand, Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric, whereas Pepperdata is most compared with .

    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.