Hello
I’m facing an issue with query performance in Studio 3T when working with large MongoDB collections. Specifically; when I run queries on collections with millions of documents, the response time is significantly slower compared to smaller datasets. 
While I’ve optimized the queries as best as I can; I’ve noticed that performance still degrades when using Studio 3T’s built-in query builder and aggregation editor. The same queries run fine on the MongoDB shell and other clients, which makes me wonder if it’s something specific to the way Studio 3T handles large datasets. 
I’ve also experimented with indexing, but the queries still seem to lag when executed through Studio 3T. I’m running the latest version of the software, and I’ve checked that there are no network or hardware issues affecting performance. Additionally, I’ve tried reducing the result set size and using different query options; but the performance remains sluggish, especially when aggregating data. 
Has anyone else experienced slow query performance in Studio 3T with large MongoDB collections? Any recommendations on optimizing queries / adjusting settings within Studio 3T to improve the performance would be greatly appreciated. Checked Performance Suite for optimizing MongoDB queries | Studio 3T MongoDB documentation guide for reference .
I’m curious if there are any known issues or specific configurations that can help with handling larger datasets more efficiently.
Thank you ! 