• Home
  • Netezza Analytics vs. Pivotal Greenplum HD [EOL]

Netezza Analytics vs Pivotal Greenplum HD [EOL] comparison

Cancel
You must select at least 2 products to compare!
IBM Logo

Netezza Analytics

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

Pivotal Greenplum HD [EOL]

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

We performed a comparison between Netezza Analytics and Pivotal Greenplum HD [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
Download the complete report
767,847 professionals have used our research since 2012.
Featured Review
Shiv Subramaniam Koduvayur
A robust solution with good support, but a better GUI for database management is needed
Use Pivotal Greenplum HD [EOL]?
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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 →

    Information Not Available
    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 »
    Ask a question

    Earn 20 points

    Ranking
    11th
    out of 22 in Hadoop
    Views
    235
    Comparisons
    103
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Unranked
    In Hadoop
    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
    767,847 professionals have used our research since 2012.
    Comparisons
    Also Known As
    EMC Greenplum HD
    Learn More
    IBM
    VMware
    Video Not Available
    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.
    Pivotal Greenplum is a commercial fully featured data warehouse powered by the open source Greenplum Database. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum is powered by advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
    Sample Customers
    A leading online advertising network
    Samsung SDI, WGSN Group
    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
    767,847 professionals have used our research since 2012.

    Netezza Analytics is ranked 11th in Hadoop while Pivotal Greenplum HD [EOL] doesn't meet the minimum requirements to be ranked in Hadoop. Netezza Analytics is rated 7.4, while Pivotal Greenplum HD [EOL] 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 Pivotal Greenplum HD [EOL] is most compared with .

    See our list of best Hadoop vendors.

    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.