Difference between nifi and flink nussknacker - Stack Overflow

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I was reading about both the tools, and they almost look the same. Can some once tell what's the difference (other than the architecture) and when one would be beneficial over the other.

I was reading about both the tools, and they almost look the same. Can some once tell what's the difference (other than the architecture) and when one would be beneficial over the other.

• apache-flink
• apache-nifi

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I'll be honest - I'm probably not completely objective, because I work for Nussknacker :) I don't want to promote our solution. However, I’d like to explain when to use Apache NiFi and when Nussknacker to help clarify the best use cases for each. I would like to point out that we also use a lot Apache NiFi on a daily basis in our client's projects.

When to use Nussknacker vs. NiFi?

Nussknacker is the best choice for real-time, low-latency processing of large data volumes. It excels in stateful processing, complex event handling, and machine learning model inference in streaming data processing. If you need to detect fraud, manage risks, or identify top customers in real time, Nussknacker is a strong candidate.

Apache NiFi is more suited for ETL and data movement tasks where low latency isn’t the primary concern. It provides robust data ingestion, transformation, and routing capabilities, making it ideal for technical users, especially those comfortable with coding and scripting (e.g., Python).

I like this comparison

If data is a haystack, Apache NiFi moves it efficiently, while Nussknacker finds the needles: fraud, risks, top customers, and real-time insights.

Hope this helps! Let me know if you need further clarification.

Cheers,

Lucas

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