Distributed Rules Engine

Question

We have been using Drools engine for a few years now, but our data has grown, and we need to find a new distributed solution that can handle a large amount of data. We have complex rules that look over a few days of data and that why Drools was a great fit for us because we just had our data in memory.

Do you have any suggestions for something similar to drools but distributed/scalable?

I did perform a research on the matter, and I couldn't find anything that answers our requirement.

Thanks.

Answer 1

Spark provides a faster application of Drools rules to the data than traditional single-node applications. The reference architecture for the Drools - Spark integration could be along the following lines. In addition, HACEP is a Scalable and Highly Available architecture for Drools Complex Event Processing. HACEP combines Infinispan, Camel, and ActiveMQ. Please refer to the following article for on HACEP using Drools.

You can find a reference implementation of Drools - Spark integration in the following GitHub repository.

Answer 2

Maybe this could be helpful to you. It is a new project developed as part of the Drools ecosystem. https://github.com/kiegroup/openshift-drools-hacep