Integration with Hadoop for Scalable Processing in n8n

Integration with Hadoop for Scalable Processing in n8n

The idea is:

I propose integrating n8n with Apache Hadoop to enable scalable workflow processing. This integration will allow n8n to leverage Hadoop’s distributed and parallel processing capabilities, which is essential for handling tasks involving large data volumes and high-performance requirements.

My use case:

My use cases include automating data processing and analysis tasks that involve extensive data volumes and require efficient parallel processing. This integration would greatly enhance the capability of n8n to handle such tasks.

I think it would be beneficial to add this because:

This integration will address scalability challenges in n8n and enable users to efficiently process large datasets and execute complex workflows. It will benefit businesses and organizations that rely on n8n for critical process automation and big data analytics.

Any resources to support this?

Are you willing to work on this?

As a Python developer, I’m willing to contribute to the development of this feature, including providing code and support for the integration.