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Agreed. So here's an attempt to describe NiFi at a high level.

Fundamentally NiFi is a "dataflow engine", a system that can be used to automate data transfer from different and varying types of sources and sinks. It has a fairly usable UI that enables a "dataflow manager" (end user) to perform transformation, routing and delivery of data using a "drag-n-drop" configuration approach.

Getting data into or out of your application/system, or performing simple schema transformations, is a common (maybe tedious) task that most developers face. NiFi helps connect the dots, so to speak, and decouples the receipt/delivery of data away from your application. NiFi comes with a set of "batteries included" connectors for almost every transport protocol you would generally need. And it's modular so you can create your own processing components as well.

NiFi is fundamentally modeled after what's called "Flow-Based Programming"[1], which is a style of programming that facilitates composition of black-box processing units. It can run at an enterprise or IoT level, depending on where that decomposition best fits into your architecture.

[1] https://en.wikipedia.org/wiki/Flow-based_programming

(disclaimer: I'm affiliated with the NiFi project)



Is this a layer on Apache Camel [1] or something completely different?

[1]: https://camel.apache.org/


It was built from scratch at the NSA and open sourced a few years ago.


I'm curious how you would compare it to Apache Camel - when would you use Camel and when would you use this?

We use camel with DSLs to make programmatic workflows that connect data flows together. However Camel itself doesn't typically carry the data. Sometimes it SFTPs files around etc., but mostly, it is just a messaging layer.

Is that the main difference here?


Is this similar to NodeRed for IoT? I was trying to bring up something similar for IoT with CEP rules and source and sink connections on the Edge.


So is this comparable to something like the old Microsoft Biztalk?




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