poorejc commented on issue #42:
URL: 
https://github.com/apache/incubator-flagon-useralejs/issues/42#issuecomment-791559505


   Yes, but the two are not mutually exclusive. UserALE works with just ELK. 
However, Kibana's visualization capability is limited primarily to 
aggregation--it doesn't do rich analytics, it's a display. That may be fine for 
your use case (for many interested in traffic and usage analysis, it is). 
However, we're interested in Apache Superset because it has connectors for 
ElasticSearch and could offer more complex analytical capabilities (and 
probably visualization, too). Superset would be an enhancement on top of the 
ELK stack, not a replacement. We like ELK not just because of the convenience 
of Kibana, but also for it's indexing, scalability, and search-ability. 
Superset examples would give our users more options for how to use and 
visualize UserALE.js data. Turning Distill into a Python library, would also 
give users a way of building on and injecting those examples into a 
UserALE>ELK>Superset pipeline, we think. Still exploring the concept.


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