Azure Stream Analytics vs. IBM Decision Manager Open Edition

Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.

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Red Hat Decision Manager is well suited for developing a microservices-based application architecture where reusable components / APIs can be used across different end-user applications. It however may not be well suited for use cases where business users need low code / no-code environment to maintain business rules themselves without any developer / IT team support

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• Routing of data from multiple inputs to multiple output
• You create your own user define function.
• Intermediate query is working very effectively.

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• Business rule management for filtering the candidate
• Automate the possible decision making which reduces the time and increase the productivity
• Whenever business rule changes based on the client requirement.

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• Code competency is not that much effective
• Ml models can't be integrated with stream analytics

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• It should be easy to use because it needs more knowledge
• You should be trained to your partner well
• Well Documentations are needed

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Red Hat Decision Manager can be scaled and adapted to meet the automation needs of the organization as it grows by reusing the components and business rules data which provides a high ROI on the renewal costs.

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Implementation phase is very difficult .Of course ,you need to know bunch of things about cloud,container,automatization

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The support for Red Hat decision Manager can be improved to be more omnichannel with better response times for the customers.

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For high volume and / or complex set of legacy business rules, plan for adequate time for data migration activities.

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Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics

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If you have a low budget to invest probably JBoss BRMS is the option for you, if your budget is not restricted you'll probably like to consider Bizagi

• Very nice roi while using it.
• Multiple integration is the best functionality

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• Quickly write business rules
• Computers can take decision
• Complex event processing

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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