Amazon Simple Queue Service (SQS) vs. Drools

If you are looking to build something that just requires a simple queue service (as the name implies) this is great for it. You might look elsewhere though if you get into more complicated needs. This is also very well suited if you are already using other services with AWS and intend to fully build whatever you are building in AWS. If you are looking for a mixed environment -- SQS is not for you

Incentivized

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

• It provides an always-available serverless queue for workflows or mission-critical processes.
• Is extremely low cost and overall costs to our environments have been negligible.

Incentivized

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

Incentivized

• Almost all of the functionality has been covered by SQS, but they could improve the throughput time.
• Also, they could provide built-in Cloud Watch, so that we can easily configure it without any external efforts.

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

Online blogging and documentation for SQS is great. There are many examples of implementing it and if you look hard enough, more than likely there are examples that meet the exact case with which you are working

Incentivized

The most comparable products are RabbitMQ, and perhaps ActiveMQ. Until recently, AWS did not offer a managed ActiveMQ product. Running RabbitMQ will never be to my team's competitive advantage; we wanted a managed service.

Incentivized

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

Incentivized

• Positive impact - time allocation towards different features
• Negative impact - too many resources dedicated towards debugging
• Positive impact - less manual labor during testing

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