jorgecarleitao commented on issue #2709:
URL: 
https://github.com/apache/arrow-datafusion/issues/2709#issuecomment-1158030051

   @andygrove, thanks for the ping! I do not have a preference - I am very 
happy to support anyone that wishes to use arrow2/parquet2, and I am very 
thankful for everyone that has been maintaining the arrow2 branch. I 
unfortunately do not have the time left to spearhead it.
   
   @dbr I would be very happy to support you in the migration - let me know how 
I can help and feel free to assign tasks directly. Arrow2's core API is 
essentially stable and that we we usually have small breaking changes in IO, so 
most of the changes should be on the datafusion's side.
   
   For full transparency: imo the primary question here is one of control - 
although we demonstrated that arrow2 had superior support, safety, performance, 
documentation, and UX, I sensed that the main requirement was that arrow2 was 
donated to Apache, which for me was unacceptable. This demotivated me from 
contributing here.
   
   I understand that companies that have a strong dependency on DataFusion need 
control over its core dependency. For me it demos that we are a bit past the 
idea that people in Apache are individual contributors.
   
   The core development of Polars and Databend have been more pragmatic and I 
have thus been more aware of the requests there. However, if there is anything 
needed, just drop an issue and I will gladly take it, irrespectively of where 
the development happens (here or in a separate repo / org).
   
   I continue to believe that DataFusion would benefit immensely from arrow2's 
current and future capabilities - arrow2 is the backend of likely the fastest 
in-node dataframe APIs out there and just this week we exposed a new API that 
enable compute to be 2x-5x faster ;)


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