GitHub user Praveenstein added a comment to the discussion: Difference Between 
Apache Nifi and Apache Streampipes

Thanks for the reply, one thing which i feel is... Apache nifi is more matured 
(given its long history)... But it lacks some processors for industrial 
scenario, sometimes i feel like instead of creating something from the scratch 
(such as streampipes).... We could add more processors to nifi to support 
industrial use case. Is there any specific reason you had to built something 
from the scratch??? Something related to performance??? I know streampipes has 
integrated support for using ml models, i still do the same with nifi, but in 
an indirect way, i could have an http api endpoint just to run a model and 
return the results, this could be integrated into nifi using http processor, or 
in best scenario we (or your team) could create own processor just for running 
ml model ( or any analytics for that matter) and yes streampipes does have 
inbuilt dashboard and everything, but the same could be done using grafana also 
.....so any specific reason why your team have opted for building somet
 hing from the scratch instead of creating nifi processor for industrial use 
case??

GitHub link: 
https://github.com/apache/streampipes/discussions/1067#discussioncomment-4678064

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