Drools vs. InRule vs. Streamlit

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

With InRule, we are expecting to be able to move business logic out of the developer domain and back into the business domain. Business logic is currently captured in UI (data validation) and middleware layers. These are areas in any application where leveraging InRule's capabilities allow for changes in business logic to be made with little or no IT involvement.

- Don't want to pay Tableau $1,000 / seat? Use Streamlit - Want fully custom views and navigation? Use Streamlit - Want access to Machine Learning and not just your dev team? Use Streamlit - Want to keep things internal and secure? Use Streamlit - Want your Data Science team to be able to crank out projects quickly? Use Streamlit - Sick of Jupyter Notebooks and Business Leaders not understanding them? Use Streamlit Our D.S. strategy has moved completely to delivering pages in Streamlit. I can hand an executive a Jupyter notebook and it'll get lost in translation. I can give them sign-in access to a page and they can answer all of their own "What-If?" questions! We've used Streamlit to productize our Data Science and Machine Learning capabilities.

Incentivized

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

Incentivized

• It is easy to tweak business rule parameters.
• Create new logic with low barriers.

Incentivized

• Incredibly Easy
• Customizable
• Quick and powerful

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

• Needs more debugging capabilities.

• Recent Security issues (they quickly released an update to combat this though...)
• Requires a bit of HTML knowledge to really customize. If you're going quick, you don't need HTML though. Streamlit commands will pump your page out fast.

Incentivized

InRule's Support Portal provides a "one stop shop" for submitting support questions, accessing training information, managing licenses, and getting updates on InRule's roadmap.

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

Incentivized

InRule offers a more organized software design, a well-structured framework in design, and is easier for new users to start contributing given documentation. Drools is spreadsheet-based and lacking the capability to do really advanced pseudo-programming.

Incentivized

I started using Streamlit when it first came out and thought it was really useful and powerful. A few years later and they've really hit their stride! The features / widgets / materials they provide have been well researched, well designed, and well implemented. I will take Streamlit to any future companies I go to as well as be a strong promoter wherever I'm currently at. It's free. It's easy to use. It is really powerful. Sure? You could go pay for a larger system but your Data Science team should be able to handle Streamlit easily. I'd argue a non-technical person spending a few weeks in python could pick up Streamlit really quickly.

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

• It is always reliable and efficient.
• Has won customers over.

• I've scaled my team 2x since using Streamlit. We show off actual results that users can play with
• We're building a customer facing page that we're going to monetize.
• Incredible amounts of visibility into my team and what we're accomplishing.

Incentivized