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Oracle Big Data SQL Cloud Service vs. Red Hat JBoss Data Virtualization

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Oracle Big Data SQL Cloud Service

    Score6.1 out of 10
    N/AThe Oracle Big Data Cloud Service is a PaaS supporting data scientists with secured and encrypted Hadoop clusters, running a diverse set of workloads from Hadoop-only workloads (ETL, Spark, Hive etc.) to interactive, all-encompassing interactive SQL queries using SQLon-Hadoop tools and Oracle Big Data SQL Cloud Service. The Oracle Big Data Cloud Service includes automated lifecycle management and self-maintenance as well as additional access to Oracle analytics tools like Oracle Big Data Spatial…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
    Oracle Big Data SQL Cloud ServiceJBoss Data Virtualization
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Oracle Big Data SQL Cloud ServiceJBoss 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
    Oracle Big Data SQL Cloud ServiceJBoss Data Virtualization
    Likelihood to Recommend
    9.0
    (1 ratings)
    6.0
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Oracle Big Data SQL Cloud ServiceJBoss Data Virtualization
    Likelihood to Recommend
    Oracle
    Oracle Big Data SQL Cloud Service is useful for large organizations with more than 5,000 employees where it will help manage the company's human resources information, and also useful for companies who have a big number of items and so one, it's perfect for large organizations. Unfortunately, this makes it an expensive solution for small to medium organizations.
    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
    Oracle
    • Store Data
    • Organize Data
    • Integrate 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
    Oracle
    • Needs some modernization to its UI
    • Takes some time to analyze big chunks of Data
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    Red Hat
    • Pricing
    • User Interface
    Incentivized
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    Support Rating
    Oracle
    No answers on this topic
    Red Hat
    Support availability and resolution response time make it a better choice.
    Incentivized
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    Alternatives Considered
    Oracle
    Oracle Big Data SQL Cloud Service was able to provide solutions to all our of needs at that time and was the fastest solution to be implemented.
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    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
    Oracle
    No answers on this topic
    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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