Mage AI vs. Striim

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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Below samples are the well suited use cases; - Change data capture feature seamlessly works on popular RDMS. You can make enrichments on several data sources within the same Striim application. - You can install stand alone agents and start streaming log files to Striim servers. This is mainly useful for security operations or audit trail use cases.

Incentivized

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

Incentivized

Independently Invited by TrustRadius

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• GoldenGate Trail reader which iss faster than Oracle CDC. It does not used logminer, hence there is no load on source Oracle database.
• Easy installation and upgrade in 5 minutes
• Support is very good. Fast and user friendly.

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

Incentivized

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• License a bit expensive

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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Faster, checkpointing better. CDC works well. The loading is faster. Easy upgrade and installation. Uses less resource.

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

Incentivized

Independently Invited by TrustRadius

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• We got the license at a discount price