Drools vs. IBM Cloud Pak for Integration

As an open source rule engine and product suite, Drools is well suited for the small and middle scale business to manage and integrate the rules to build the rule-driven system which can process the business-critical data and events to produce the automated decision. It is better to use Drools in the well-secured environment (back-end behind the DMZ), not putting it on the customer-facing front or exposing it directly the to public where may bring direct security risk in the enterprise environment. Drools still needs a lot hardening on the security side.

Incentivized

We are always working on improving our brand - good customer care and efficient services are the roads to that. By picking IBM's AI automation, we are able to coordinate and connect processes around the company to deliver efficient services on store and online on our website. We've been able to seamlessly automate and digitize most of our operations.

Incentivized

• Writing rules with business focus
• Rules evolution and maintenance
• separate business logic from program code

Incentivized

• Test generation gives useful insights into missing tests before launching the bots.
• Open API files helps us understand what is running behind the scenes.

Incentivized

• Fusion doesn't support persistence of working memory, which brings some extra high availability risk to our business.
• Guvnor still has a lot room to be implemented, it is not so user-friendly for non-technical people, so a lot of business users complain it is hard to master.
• Rule execution server doesn't even have JMX implemented, hard to be monitored.
• Drools is still lacking support for key Web services standards.

Incentivized

• Natural language processing needs more attention to have more flowing conversations.

Incentivized

I did not participate in drools choice. I can only compare drools with the previous situation which was using nothing.

Incentivized

• The IT department quickly adopted Drools as it is a very good java-based rule engine, which saves a lot of time to meet the project timeline and balanced our business requirements.
• Recently we start considering the OpenRules, which may be more business user-friendly.

Incentivized

• Achieving consistency across operations.
• IBM RPA provides bots to handle the micron tasks which are monotonous and boring.

Incentivized