IBM Confluent vs. IBM Decision Manager Open Edition

If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement.

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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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• Products work great.
• Training is available.
• Customer support is good.

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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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• Cloud based Azure platform features for Confluent lacks behind AWS And GCP

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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 from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.

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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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For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.

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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

• It enables us to develop event driven application.
• It increases our ability to handle streaming data.
• It reduces latency of communication.

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

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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