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Mage AI vs. Oracle Data Service Integrator

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Mage AI

    Score8.6 out of 10
    N/AMage AI is a cloud-native Data Pipeline orchestration platform designed to facilitate the development, deployment, and management of data-intensive applications. The system provides a managed environment for building modular data workflows that integrate with existing cloud infrastructure and AI developer toolchains.

    $0

    per user

    Oracle Data Service Integrator

    Score8 out of 10
    N/AOracle Data Service Integrator provides companies the ability to develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is standards based, declarative, and enables re-usability of data services.N/A
    Pricing
    Mage AIOracle Data Service Integrator
    Editions & Modules
    Hobby
    $0
    per user
    Pro
    $2,000
    per month per user
    No answers on this topic
    Offerings
    Pricing Offerings
    Mage AIOracle Data Service Integrator
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsContact vendor for pricing information.—
    More Pricing Information
    User Ratings
    Mage AIOracle Data Service Integrator
    Likelihood to Recommend
    8.5
    (2 ratings)
    6.5
    (2 ratings)
    User Testimonials
    Mage AIOracle Data Service Integrator
    Likelihood to Recommend
    Mage
    Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
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    Oracle
    Once Oracle Data Service Integrator is set up properly, it is quite simple to snatch data from a myriad of disparate sources and put them into a single repository. Due to cost factors, it is not for the faint of heart; however, if you can handle it, the benefits will quickly outpace the initial investment. To take full advantage of the power of ODSI, I would recommend the training that Oracle provides.
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    Pros
    Mage
    • Ranking algorithms.
    • Cloud-based tool.
    • Increase user engagement.
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    Oracle
    • Very easy to use. Very easy to just grab data when needed.
    • Very robust and has so many features to move and transform data.
    • Functionality is very easy to implement with other Oracle data products.
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    Cons
    Mage
    • Acquisition Contribution.
    • Business Intelligence Reporting.
    • Data Destinations.
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    Oracle
    • If not bundled with other products, the price can be prohibitively expensive
    • SAP connectors tend to be a little expensive and slightly difficult to use
    • The audit module had some difficulties debugging failed instances
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    Alternatives Considered
    Mage
    Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
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    Oracle
    While we tested and evaluated multiple data service providers, we came to choose Oracle Data Service Integrator since our infrastructure was so heavily dependent on Oracle software. The implementation would be easier and the difference in the number of features and performance wasn't enough to sway us in another direction.
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    Return on Investment
    Mage
    • Business Understanding.
    • Data Acquisition and Understanding.
    • Data Modeling and Evaluation.
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    Oracle
    • It provided terrific bulk data movement and data transformation services which we desperately needed
    • It allowed to reduce development costs and lower the total cost of ownership among disparate architectures
    • The enterprise edition's ELT allowed us to generate native code for wildly varied RDBMS
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