IBM Decision Manager Open Edition vs. TIBCO BusinessEvents

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

TIBCO BusinessEvents is part of the CEP (Complex Event Processing) family, this means that it fits perfectly in all those scenarios where a correlation between incoming events is required. Where a stateful process is necessary. It does not fit well for a kind of Process Orchestrator scope, where simple events are coming in, and there is a well-defined behavior the system, would have on incoming request, and no particular reason to use a rule engine and its complexity. Anyway, there are particular cases where BusinessEvents would be a good actor in orchestrating a portion of CEP solutions activities

Incentivized

• 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

• It allows us to build rule-based model-driven application, to collect, filter, analyze, correlate various business events in our real-time event flow
• It makes various business applications/components easy to integrate (loosely decoupled but chained via the events flow) together
• Its distributed rule engine and embedded in-memory data grid (ActiveSpace) gives us a lot of flexibility and room to play with a large amount of rules and data with high performance

Incentivized

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

Incentivized

• Better integration with R versions and better debug for R-scripts in Spotfire. There are inconsistencies in syntactic expressions accepted by R-studio and not accepted in Spotfire. Accelerating the debug would be awesome. Having a command like View (data frame) that directly output in the dashboard would be a great accelerator.

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

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

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

I was not part of evaluation of the products in this space in my organization. But I feel BE is better in terms of RIO if compared with some commercial products from Orcle, IBM and SAP. I strongly feel difficulty in using cloud native features is one big shortcoming in current product offering. This will tend customer like us to explore options that are well suited with ur cloud first vision.

Incentivized

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

Incentivized

• Positive : Real-time event stream processing helps handle transactions very efficiently.
• Negative : Earlier versions of BE (5.0 & 5.1) had major issues in data handling in cache that impacted the data integrity of the application.
• Positive : Decision Tables are a huge plus in TIBCO BE.

Incentivized