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IBM Cloud Pak for Data vs. IBM InfoSphere Optim

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Cloud Pak for Data

    Score7.4 out of 10
    N/AIBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A

    IBM InfoSphere Optim

    Score4 out of 10
    N/AIBM InfoSphere® Optim™ solutions manage data from requirements to retirement, to improve governance across applications, databases and platforms by managing data properly, enabling organizations to support business goals with less risk.N/A
    Pricing
    IBM Cloud Pak for DataIBM InfoSphere Optim
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Cloud Pak for DataIBM InfoSphere Optim
    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 Cloud Pak for DataIBM InfoSphere Optim
    Considered Both Products
    IBM
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    9 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    9 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    No answers on this topic
    User Ratings
    IBM Cloud Pak for DataIBM InfoSphere Optim
    Likelihood to Recommend
    8.9
    (9 ratings)
    8.0
    (1 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM Cloud Pak for DataIBM InfoSphere Optim
    Likelihood to Recommend
    IBM
    IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
    Incentivized
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    IBM
    Optim is especially recommended for those companies that have their own or third-party development teams that must be provided with a complete data environment to test the applications. Optim is not recommended for use as an ETL or Data Integration tool.
    Incentivized
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    Pros
    IBM
    • Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
    • Visualization and reporting.
    • Rapidly provides business -ready data to all users equally.
    • Manage data spread across distributed stores and clouds.
    Incentivized
    Read full review
    IBM
    • Easily extract data from production environments with no-coding
    • Intelligent filtering capabilities using physical or logical relationships.
    • Advanced data masking funtions
    Incentivized
    Read full review
    Cons
    IBM
    • Cannot save changes to some secrets in the internal vault
    • Sign-in issues on environments where IAM is enabled
    • The Enforce quotas option is disabled
    Incentivized
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    IBM
    • Poor UI
    • Complex architecture
    Incentivized
    Read full review
    Alternatives Considered
    IBM
    IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.
    Incentivized
    Read full review
    IBM
    No answers on this topic
    Return on Investment
    IBM
    • We have the ability to access all our data much quicker through the unified search option.
    • 30% increase in productivity through the introduction of AI.
    • Improved data security and governance.
    Incentivized
    Read full review
    IBM
    • Optim can save companies a lot of money by protecting the sensitive data found in their databases, thus avoiding the theft of real customer information with the economic and media impact that this has.
    • Accelerate the generation of non-productive environments saving time from human resources.
    Incentivized
    Read full review
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