Business Rule Engine: What Is It and Why Is It Used?
In the process of selecting a low-coding platform for business purposes, it’s necessary to take into consideration such issues as the business rule engine. Below you’ll find the details on how it should be done and what you’ll get as a result.
What Is It Exactly?
It’s always problematic to maintain definitions, links, and business-related rules. The use of hard codes in each type of software aggravates the problem of maintenance and leads to possible inconsistency by residing in different localities. It’s associated with a significant advantage that consists in keeping the existing definitions, rules, and links in a specially developed engine of rules rather than using your apps for this purpose.
In fact, business is responsible for some definition instead of a team of professional developers, the performance of the rule is guaranteed in all cases. As a result, the rule can be defined as soon as you know for sure that it will be enforced in all places. The innovative low-coding platforms, including the engine, are part of this technology. If the low-coding software platform you are assessing has the above-mentioned technology, there are many functions you can use.
For instance, you may be wondering whether it is possible to insert the existing information schemas with the help of engines of rules. In fact, the majority of the projects are to extend the existing apps with accessible bases of information. You only need to ensure that professional back-end and front-end developing experts insert the available information from sources outside the platform to be later used within the engine. Besides, some systems allow users to keep more than just database rules and links to facilitate the process of maintenance.
Storage and Maintenance
The most widespread rule is to store information definitions separately from the apps and databases with which they operate. Each qualified developer must be able to gain access to and see what’s inside the storage with ease.
Certain engines do not use the lock-in of the information storage by imposing certain rules at the application layer so that every software program here will have a specific duplicate source code. This can result in certain incongruities and problems with handling codes. The perfect way of deployment is the use of an independent layer of information service where the rules engine will be coupled from the information storage and layer of apps. The major advantage of such a way of keeping data is to allow making some changes within the system or reinforcing it automatically without making any at all.
For instance, if you require making some updates in the postal code’s rule of confirmation on the customer’s table without executing the table look-up, you’ll get the following. After making certain changes in the engine, using a layer of information storage service will allow you:
- To use every kind of software that updates or inserts information in the customer file;
- To apply the postal code rule instantly without any need to recompile the used software tools, which interact with the table of customers.
Another question is whether definitions are kept at the database or on the application level. In fact, if the definitions are kept at the database level, it’s not a perfect model of deployment. The disadvantage of such storage is that all database owners and users have their own methods of introducing triggers by effectively locking you in a specially developed database.
In this way, most of the existing problems will be tackled easily and efficiently.