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Infor Cloverleaf Integration Platform vs. Red Hat JBoss Data Virtualization

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Infor Cloverleaf Integration Platform

    Score9 out of 10
    N/ACloverleaf improves healthcare outcomes and operations by connecting organizations and streamlining interoperability—with FHIR and API management support.N/A

    JBoss Data Virtualization

    Score6 out of 10
    N/AJBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to any application and/or user. Also presented as a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse…N/A
    Pricing
    Infor Cloverleaf Integration PlatformJBoss Data Virtualization
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Infor Cloverleaf Integration PlatformJBoss Data Virtualization
    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
    User Ratings
    Infor Cloverleaf Integration PlatformJBoss Data Virtualization
    Likelihood to Recommend
    9.0
    (1 ratings)
    6.0
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Infor Cloverleaf Integration PlatformJBoss Data Virtualization
    Likelihood to Recommend
    Infor
    Web API integration, healthcare integration is best suited in Cloverleaf. It is robust. So it's perfectly well suited where infrastructure is advanced and up to date.
    Incentivized
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    Red Hat
    Red Hat JBoss Enterprise Data Services is a top choice for JEE applications. Even though lots of documentation is available, it's difficult in terms of usability. If the development is more based on Java applications it is a good choice. It provides better installation and integrations.
    Incentivized
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    Pros
    Infor
    • Translation and support of all HL7 version data.
    • Easy database integration.
    • Debuggers while translation of data.
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    Red Hat
    • Data source compatibility: since it is Java, it can connect to anything with a JDBC driver.
    • Flexibility: you can configure it however you want, we have it configured to use LDAPS for authentication and have all interfaces encrypted, and setting that up was pretty straight forward.
    Incentivized
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    Cons
    Infor
    • High cost if one needs to migrate to another environment like cloud.
    • Customer engagement. We are not yet fully aware of all services and capabilities Infor provides.
    • Does not offer bundled deals. Each solutions is sold separately.
    Incentivized
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    Red Hat
    • Pricing
    • User Interface
    Incentivized
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    Support Rating
    Infor
    Good support for what is needed or to be resolved. They have knowledge and required information when you approach them.
    Incentivized
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    Red Hat
    Support availability and resolution response time make it a better choice.
    Incentivized
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    Alternatives Considered
    Infor
    Easy to implement. Cost effective. Less complex. Less support and maintenance required comparatively.
    Incentivized
    Read full review
    Red Hat
    Market value and support extended by Redhat is the winner against Veritas. It has cool features and functionality but still, if your organization is Redhat shop it's better to go for the Jboss option.
    Incentivized
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    Return on Investment
    Infor
    • Return wise it has a huge impact since a lot of healthcare data is integrated.
    • It gives us a different option to be offered to our clients as compared with other integration engine tools.
    Incentivized
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    Red Hat
    • It has allowed us to start moving applications independent from their underlying data sources, savings us time and limiting cutover effort.
    Incentivized
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