Mage AI vs. Oracle Warehouse Builder

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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The best place for Oracle Warehouse Builder is at the business IT level. It's not suited for business-level users. They are easy confused. One way to reduce the confusion for the developers is to set up the workspaces based on the requirements that are discovered in design sessions. Once this is complete, the implementation of Oracle Warehouse Builder can take flight and be successful.

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• Ranking algorithms.
• Cloud-based tool.
• Increase user engagement.

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• Easy transformation.
• Easy implementation from Oracle to Oracle systems.
• Ease of usage and easy to learn.
• Starting component of metadata management.

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• Acquisition Contribution.
• Business Intelligence Reporting.
• Data Destinations.

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• What I noticed is that sometimes OWB doesn't generate the best SQL in the package especially when there are a high number of source tables in the ETL. It would be nice if ETL developers were allowed to update the generated packages in the database directly.
• Another thing - moving OWB ETLs from one database to another one could be easier - for example it would be nice to just copy the generated packages from one database to the other one without doing the deployment of these ETLs through OWB.

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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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Ab>initio, IBM Datastage 8.0

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• Business Understanding.
• Data Acquisition and Understanding.
• Data Modeling and Evaluation.

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• It improved understanding of ETL functions. Data is consistent. The speed is pretty good.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info