Camunda vs. IBM Decision Manager Open Edition

Camunda Platform is well suited for scenarios where there are different stages in a business flow and the flow is driven by user action at each stage. For example placing of an order on an ecommerce platform. Depending on whether user was able to make the payment or not the workflow would go to dispatch or retry stage. Now the retry stage would trigger further actions like sending follow up emails etc. Likewise, dispatch stage would have a different set of actions. Since every order is important and we need to know where it stands, using Camunda Platform is imperative. Camunda Platform might not be a right choice where just a one off thing needs to be done. For example, uploading of product information by user or periodic processing of heavy images by a worker. These are all either one step processes or periodic automated processes where we can track the status without using a business modeler like Camunda Platform.

Incentivized

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

Incentivized

• Asynchronous functionality of Camunda Platform and different types of gateways.

• 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.

Incentivized

• Camunda expects that you will develop your own user interfaces. This is either a benefit or a barrier depending on your perspective on packaged UI.
• As an open source vendor, Camunda is under-covered in analyst reports.

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

Incentivized

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.

Incentivized

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

Incentivized

Camunda provides pretty standard product support offerings.

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

Incentivized

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

Incentivized

Lacks good documentation. Training and documentation is geared towards those who are already technically adept. Does not have as many data integrations as other full fledged products. Paid version of Camunda is not as fully fledged as other products.

Incentivized

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

• The positive impact is that we are able to ensure the business process is being followed and that results in orders getting processed successfully leading to customer satisfaction and revenue
• Another positive impact is that we are able to track any anomalies and any errors in the order flow and retry them so that users don't have a negative experience.
• A negative point is that it is an overhead to maintain so there is significant engineering effort getting invested there

Incentivized

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

Incentivized