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Data Virtuality Platform vs. IBM InfoSphere Information Server

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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 InfoSphere Information Server

    Score10 out of 10
    N/AIBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.N/A
    Pricing
    Data Virtuality PlatformIBM InfoSphere Information Server
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Data Virtuality PlatformIBM InfoSphere Information Server
    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
    Features
    Data Virtuality PlatformIBM InfoSphere Information Server
    Data Source Connection
    Comparison of Data Source Connection features of Data Virtuality Platform and IBM InfoSphere Information Server
    Feature
    Data Virtuality Platform
    -
    Ratings
    IBM InfoSphere Information Server
    8.7
    4 Ratings
    4% above category average
    Connect to traditional data sources00 Ratings9.94 Ratings
    Connecto to Big Data and NoSQL00 Ratings7.54 Ratings
    Data Transformations
    Comparison of Data Transformations features of Data Virtuality Platform and IBM InfoSphere Information Server
    Feature
    Data Virtuality Platform
    -
    Ratings
    IBM InfoSphere Information Server
    9.6
    4 Ratings
    17% above category average
    Simple transformations00 Ratings10.04 Ratings
    Complex transformations00 Ratings9.24 Ratings
    Data Modeling
    Comparison of Data Modeling features of Data Virtuality Platform and IBM InfoSphere Information Server
    Feature
    Data Virtuality Platform
    -
    Ratings
    IBM InfoSphere Information Server
    8.0
    4 Ratings
    1% above category average
    Data model creation00 Ratings8.72 Ratings
    Metadata management00 Ratings7.74 Ratings
    Business rules and workflow00 Ratings8.44 Ratings
    Collaboration00 Ratings8.04 Ratings
    Testing and debugging00 Ratings7.14 Ratings
    Data Governance
    Comparison of Data Governance features of Data Virtuality Platform and IBM InfoSphere Information Server
    Feature
    Data Virtuality Platform
    -
    Ratings
    IBM InfoSphere Information Server
    9.7
    4 Ratings
    18% above category average
    Integration with data quality tools00 Ratings10.04 Ratings
    Integration with MDM tools00 Ratings9.53 Ratings
    Best Alternatives
    Data Virtuality PlatformIBM InfoSphere Information Server
    Small Businesses
    No answers on this topic
    Skyvia
    Score10 out of 10
    Medium-sized Companies
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    Informatica PowerCenter (legacy)
    Score9.3 out of 10
    Enterprises
    No answers on this topic
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Data Virtuality PlatformIBM InfoSphere Information Server
    Likelihood to Recommend
    8.0
    (1 ratings)
    8.9
    (5 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Data Virtuality PlatformIBM InfoSphere Information Server
    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
    Read full review
    IBM
    Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
    Read full review
    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
    Read full review
    IBM
    • IIS best for ETL ,not ELT , and many and diffrent source systems.
    • It also can process big data , unstuctured data
    • It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems
    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
    • I would be nice to have a new web development environment for DataStage.
    • Connectivity Packs such as Pack for SAP Application are a little pricey.
    • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
    Incentivized
    Read full review
    Likelihood to Renew
    Data Virtuality
    No answers on this topic
    IBM
    • Scale of implementation
    • IBM techsupport
    Incentivized
    Read full review
    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
    DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
    Read full review
    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
    • Productivity of the development of integration processes.
    • Better documentation and governance.
    • Reduce training costs of various technologies.
    Read full review
    ScreenShots