Welcome to the community @tweety!
That sounds like the data is too large, and for that reason the n8n instance crashes. There are two ways to fix it:
- upgrade to a larger cloud instance which has more memory
- reduce the amount of data that gets processed at a given point in time. Normally gets done by splitting the workflow into a main- and a sub-workflow (older ticket which explains that)
I hope that is helpful!