Azure Logic Apps vs. IBM Decision Manager Open Edition

Microsoft Azure Logic Apps was a perfect solution for us to integrate the apps and products we used in our business to create automated workflows which were also complex and very advanced. This was a very new feature for us, and also it reduced our software costs massively and also saved us a lot of time. With the crisis, we were in back then Azure turned out to be the best cost-friendly solution because we only had to pay for what we used!

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

• Connecting to different services using OOB connectors
• Support for HTTP connectors which enables user to leverage RestAPIs
• Readability, i.e., it looks just like a Visio diagram. Even managers or HRs can have a look and get to know what's happening
• It's a Programmer's Lego. It's fun connecting them at the same time getting the work done

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 falls short of alerting capabilities.
• Microsoft Azure should be unclouded with its pricing. We don't always know how much an inclusion will affect the monthly price. So we have to speculate where we are with the price and if we can afford to include another asset.

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

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

Azure Logic Apps on the surface are very intuitive. There is definitely room for improvement but it was very well laid out. The main thing with the UI is that its baked into Azure which at times can be a confusing platform to navigate. This is not the fault of Azure Logic Apps for the Azure platform.

Incentivized

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

Incentivized

As with other Microsoft Azure support, Microsoft Logic Apps is hit or miss depending on the issue you are having. If it's simple then the resolution can be very quick. If it requires an engineer to review, then it will take them quite a while to look up a solution as they dig through.

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

This is very dependent on the line of work you are in and the unique company requirements, as is the case with everything. We utilize Azure Logic Apps for all of our computing solutions within our domain, and it has always worked flawlessly. One of the simplest clouds to set up and use is by far the most popular.

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

• Moving to Serverless Computing obviously makes the organization get rid of dependent Infra.
• ROI can be seen immediately as the required infra can be decommissioned after a successful quarter run.
• Being deployed as a single entity or single app on Azure Logic Apps, Organizations need to be more careful with controls applied to meet compliance and security posture.

Incentivized

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

Incentivized