IBM Netezza Performance Server vs Oracle Big Data Appliance comparison

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Executive Summary

We performed a comparison between IBM Netezza Performance Server and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: November 2022).
657,397 professionals have used our research since 2012.
Featured Review
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 features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."

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"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."

More Oracle Big Data Appliance Pros →

Cons
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."

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"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."

More Oracle Big Data Appliance Cons →

Pricing and Cost Advice
Information Not Available
  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available.
    Top Answer:I rate IBM Netezza Performance Server a seven out of ten.
    Top Answer:If you're still looking, we might be able to help. Take a look at https://smart-associates.biz/s...
    Top Answer:Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.
    Top Answer:From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
    Ranking
    8th
    out of 32 in Data Warehouse
    Views
    5,568
    Comparisons
    4,059
    Reviews
    2
    Average Words per Review
    505
    Rating
    8.5
    15th
    out of 32 in Data Warehouse
    Views
    1,270
    Comparisons
    1,080
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    Comparisons
    Also Known As
    Netezza Performance Server, Netezza
    Learn More
    Overview
    IBM Netezza appliances are now part of IBM PureSystems - expert integrated systems with built in expertise, integration by design and a simplified user experience. Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. It has the same key design tenets of simplicity, speed, scalability and analytics power that was fundamental to Netezza appliances.

    Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

    For more information on Oracle Big Data Appliance, visit Oracle.com

    Offer
    Learn more about IBM Netezza Performance Server
    Learn more about Oracle Big Data Appliance
    Sample Customers
    Seattle Childrens Hospital, Carphone Warehouse, Vanderbilt University School of Medicine, Battelle, Start Today Co. Ltd., Kelley Blue Book, Trident Marketing, Elisa Corporation, Catalina Marketing, iBasis, Barnes & Noble, Qualcomm, MediaMath, Acxiom, iBasis, Foxwoods
    Caixa Bank
    Top Industries
    REVIEWERS
    Financial Services Firm35%
    Retailer18%
    Comms Service Provider12%
    Insurance Company12%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company18%
    Insurance Company10%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm15%
    Comms Service Provider11%
    Government6%
    Company Size
    REVIEWERS
    Small Business15%
    Midsize Enterprise9%
    Large Enterprise76%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise10%
    Large Enterprise77%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise15%
    Large Enterprise64%
    Buyer's Guide
    Data Warehouse
    November 2022
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: November 2022.
    657,397 professionals have used our research since 2012.

    IBM Netezza Performance Server is ranked 8th in Data Warehouse with 2 reviews while Oracle Big Data Appliance is ranked 15th in Data Warehouse with 1 review. IBM Netezza Performance Server is rated 8.6, while Oracle Big Data Appliance is rated 8.0. The top reviewer of IBM Netezza Performance Server writes "We are now able to analyze products, stores, suppliers and sales as quickly as we need". On the other hand, the top reviewer of Oracle Big Data Appliance writes "Provides clean, centralized data ". IBM Netezza Performance Server is most compared with Oracle Exadata, Snowflake, Microsoft Azure Synapse Analytics, SQL Server and IBM Db2 Database, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata, Microsoft Azure Synapse Analytics and AWS Lake Formation.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all Data Warehouse 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.