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IBM Netezza Performance Server vs. IBM Watson Studio on Cloud Pak for Data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Netezza Performance Server

    Score8.9 out of 10
    N/ANetezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).N/A

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A
    Pricing
    IBM Netezza Performance ServerIBM Watson Studio
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Netezza Performance ServerIBM Watson Studio
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Netezza Performance ServerIBM Watson Studio
    Considered Both Products
    IBM
    No answer on this topic
    IBM
    Chose IBM Watson Studio
    AWS stacks up very favourably against Watson Studio, and in fact this is what the customer ultimately chose over Watson Studio after an evaluation period due to the sophistication, maturity, security, and capabilities of the AWS components. The downsides of AWS are having to …
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    IBM Netezza Performance ServerIBM Watson Studio
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Netezza Performance Server and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Netezza Performance Server
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Connect to Multiple Data Sources00 Ratings8.022 Ratings
    Extend Existing Data Sources00 Ratings8.022 Ratings
    Automatic Data Format Detection00 Ratings10.021 Ratings
    MDM Integration00 Ratings6.414 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Netezza Performance Server and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Netezza Performance Server
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Visualization00 Ratings10.022 Ratings
    Interactive Data Analysis00 Ratings10.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Netezza Performance Server and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Netezza Performance Server
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
    Data Transformations00 Ratings10.021 Ratings
    Data Encryption00 Ratings8.020 Ratings
    Built-in Processors00 Ratings10.021 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Netezza Performance Server and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Netezza Performance Server
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings10.022 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Netezza Performance Server and IBM Watson Studio on Cloud Pak for Data
    Feature
    IBM Netezza Performance Server
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Flexible Model Publishing Options00 Ratings9.022 Ratings
    Security, Governance, and Cost Controls00 Ratings7.022 Ratings
    Best Alternatives
    IBM Netezza Performance ServerIBM Watson Studio
    Small Businesses
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    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    Posit
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Netezza Performance ServerIBM Watson Studio
    Likelihood to Recommend
    9.3
    (6 ratings)
    8.0
    (65 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (1 ratings)
    Usability
    -
    (0 ratings)
    9.6
    (2 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    IBM Netezza Performance ServerIBM Watson Studio
    Likelihood to Recommend
    IBM
    We can query the data source and treat multiple databases
    as one with IBM Netezza Performance Server.



    While delivering fast and reliable analytical performance, the IBM Netezza Performance Server requires minimal configuration and ongoing
    management.



    To drive organizational performance, Netezza Performance
    Server automatically simplifies data and AI to centralize all analytics
    activities on the device, exactly where the data resides.



    For data processing and application dashboards, IBM Netezza
    Performance Server is quite beneficial.





    IBM Netezza Performance Server simplifies event setup
    by notifying you when a hardware component fails, allowing you to quickly
    replace it.
    Incentivized
    Read full review
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Pros
    IBM
    • IBM Netezza Performance Server enables capabilities to integrate with leading ETL solutions.
    • Data can be exported from the IBM Netezza Performance Server to a variety of formats, including Excel.
    • We can prioritize specific users and queries using IBM Netezza Performance Server.
    Incentivized
    Read full review
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    Cons
    IBM
    • More tech support may make it easier as it is only limited to be done via company representatives
    • Overhead cost for replacements and services looks like it is high compared to others
    • Integration with other cloud based application will be great
    Incentivized
    Read full review
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    No answers on this topic
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    Usability
    IBM
    No answers on this topic
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
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    Reliability and Availability
    IBM
    No answers on this topic
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
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    Performance
    IBM
    No answers on this topic
    IBM
    Never had slow response even on our very busy network
    Incentivized
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    Support Rating
    IBM
    No answers on this topic
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
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    In-Person Training
    IBM
    No answers on this topic
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
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    Online Training
    IBM
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
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    Implementation Rating
    IBM
    No answers on this topic
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
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    Alternatives Considered
    IBM
    Netezza is sufficient against similar products. It comes down to personal preference, I'd love to have the data objects popping up as I type but some people may not like it.
    Incentivized
    Read full review
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
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    Scalability
    IBM
    No answers on this topic
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
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    Return on Investment
    IBM
    • The appliance is all in one so we have all licenses and support contracts under one roof.
    • The cost is expensive so ROI may take time to be realized.
    • If done correctly, then Netezza provides the opportunity for huge ROI.
    Incentivized
    Read full review
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    ScreenShots