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Informatica Big Data Parser vs Netezza Analytics comparison

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Informatica Big Data Parser

330 views|292 comparisons
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Netezza Analytics

Read 11 Netezza Analytics reviews
235 views|103 comparisons
76% willing to recommend
Buyer's Guide
Hadoop
April 2024
Executive Summary

We performed a comparison between Informatica Big Data Parser and Netezza Analytics 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
Use Informatica Big Data Parser?
Shiv Subramaniam Koduvayur
A robust solution with good support, but a better GUI for database management is needed
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
Information Not Available
  • "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 →

    Questions from the Community
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    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 »
    Ranking
    9th
    out of 22 in Hadoop
    Views
    330
    Comparisons
    292
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    11th
    out of 22 in Hadoop
    Views
    235
    Comparisons
    103
    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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    768,740 professionals have used our research since 2012.
    Comparisons
    Also Known As
    Big Data Parser
    Learn More
    Informatica
    IBM
    Overview

    Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.

    Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools

    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
    Western Union, UPMC, BNY Mellon
    A leading online advertising network
    Company Size
    No Data Available
    REVIEWERS
    Small Business25%
    Midsize Enterprise17%
    Large Enterprise58%
    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
    768,740 professionals have used our research since 2012.

    Informatica Big Data Parser is ranked 9th in Hadoop while Netezza Analytics is ranked 11th in Hadoop. Informatica Big Data Parser is rated 0.0, while Netezza Analytics is rated 7.4. 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". Informatica Big Data Parser is most compared with Apache Spark and HPE Ezmeral Data Fabric, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.

    See our list of best Hadoop vendors.

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