I think the main metric that this is built on may be too coarse to derive the meaning that the article is. There’s conjecture that what’s driving this is more querying over the same dataset (more streamlit dashboards) but it could just as easily be expanding usage inside of companies. That’s what’s going on at my company right now, more teams using snowflake, more data being pushed in to replace existing workflows, etc.

I’m also not sure I understand the dig at streamlit dashboards. If you’re running hardware and introduce new read workflows, eventually you’ll need more read replicas and you’ll pay more for it. Maybe you can argue that snowflake is doing this at a higher cost but the metric data is not available in the sources to make that claim.