BlueData vs Netezza Analytics comparison

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151 views|115 comparisons
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234 views|103 comparisons
76% willing to recommend
Executive Summary

We performed a comparison between BlueData 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.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
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Pricing and Cost Advice
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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."
  • More Netezza Analytics Pricing and Cost Advice →

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    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
    12th
    out of 22 in Hadoop
    Views
    151
    Comparisons
    115
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    11th
    out of 22 in Hadoop
    Views
    234
    Comparisons
    103
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    770,292 professionals have used our research since 2012.
    Comparisons
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    Overview

    The BlueData EPIC™ (Elastic Private Instant Clusters) software platform solves the infrastructure challenges and limitations that can slow down and stall Big Data deployments. With EPIC software, you can spin up Hadoop and Spark clusters – with the data and analytical tools that your data scientists need – in minutes rather than months.

    Leveraging the power of containers, BlueData EPIC makes it easier, faster, and more cost-effective to deploy Big Data infrastructure and applications—including Hadoop, Spark, Kafka, Cassandra, and more— whether on-premises or in the public cloud. Your data scientists and analysts can use the tools they prefer. You can run it with any shared storage environment, so you don’t have to move your data. And it delivers the enterprise-grade security and governance that your IT teams require.

    With the BlueData EPIC software platform, you can provide a highly flexible and secure Big-Data-as-a-Service environment to enable faster time-to-insights and faster time-to-value – now available either on-premises or on AWS.

    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
    The Advisory Board Company, AIG, Attunity, Comcast, conEdison, HGST, Intellisoft, John Hopkins, Tarleton State University, National Supercomputing Center, Orange, Quantres
    A leading online advertising network
    Company Size
    No Data Available
    REVIEWERS
    Small Business25%
    Midsize Enterprise17%
    Large Enterprise58%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    770,292 professionals have used our research since 2012.

    BlueData is ranked 12th in Hadoop while Netezza Analytics is ranked 11th in Hadoop. BlueData 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". BlueData is most compared with 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.

    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.