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Data Virtuality Platform vs. IBM Cloud Pak for Data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Data Virtuality Platform

    Score8 out of 10
    N/AData Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data…N/A

    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
    Pricing
    Data Virtuality PlatformIBM Cloud Pak for Data
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Data Virtuality PlatformIBM Cloud Pak for Data
    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
    Data Virtuality PlatformIBM Cloud Pak for Data
    Considered Both Products
    Data Virtuality
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    9 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    9 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    7 Answers
    User Ratings
    Data Virtuality PlatformIBM Cloud Pak for Data
    Likelihood to Recommend
    8.0
    (1 ratings)
    8.9
    (9 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.1
    (2 ratings)
    User Testimonials
    Data Virtuality PlatformIBM Cloud Pak for Data
    Likelihood to Recommend
    Data Virtuality
    Data Virtuality Platform's best and most unique feature is
    that it is SQL-based, giving us flexibility when working with our data that
    other marketing integration pipeline tools couldn't provide. Our main benefits
    are the short time it takes to connect to our data sources and the flexibility
    of the virtual SQL layer to meet our end users' data needs. It paves the way
    for us to tap into various data repositories, extract the data contained
    within, and examine it. It allows us to access information, generate actionable
    reports, and make data-driven decisions. However, inadequate data governance
    rules and a complex configuration process make data connectors challenging.
    Incentivized
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    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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    Pros
    Data Virtuality
    • ETL/ELT model building is flexible.
    • The pipes' setup and use are intuitive.
    • It lets us access various data sources, extract, and analyze data.
    Incentivized
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    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
    Cons
    Data Virtuality
    • Configuring data connectors can be tricky.
    • Price could be more flexible and adapt to the use case.
    • The ETL builder's user interface could be prettier.
    Incentivized
    Read full review
    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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    Alternatives Considered
    Data Virtuality
    Data Virtuality Platform has powerful transformation and
    scheduling capabilities combined with the best support team. A virtual data
    layer that supports SQL procedures is a game changer. Data Virtuality has made
    data management more efficient. It lets us access various data sources, extract,
    and analyze data. The short time it takes to connect to our data sources and
    the flexibility of the virtual SQL layer allows us to meet our end users' data
    needs.
    Incentivized
    Read full review
    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
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    Return on Investment
    Data Virtuality
    • It has the capability of integrating data from a variety of different sources.
    • It improved development and user interface to offer a robust MDM repository and strategy.
    • It offers a comprehensive solution for processing and retrieving data, which is one of the ways it assists.
    Incentivized
    Read full review
    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
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