In terms of stability, I would rate Spark SQL a four out of ten. While it generally performs well, there are occasional challenges, especially when dealing with substantial amounts of data, like creating fact tables. Despite using Spark functions to optimize processes, it can still take a considerable amount of time, impacting overall stability.

I would rate it a nine out of ten for stability. We have not had any crashes or major bugs. It's just a case of the behavior that is a different than expected and then changing the queries but I haven't had stability issues. 

I do not have any issues with stability in Spark SQL.

I rate Spark SQL's stability between nine and ten out of ten because I didn't have any problems with it.

The solution is stable. 

The solution is stable. 

The solution has not been implemented yet. When it is implemented into the real world and production, that is when I expect to see some challenges.

The solution is relatively stable. We haven't had issues with bugs or glitches.

It is very stable.

This solution is stable. 

The solution has been stable.

The stability was fine. It behaved as expected.