Users can now search for specific workloads by name, and select more than one. Both the spend over time chart and workloads table will automatically update based on the selection. You can go a step further and “slice by” workload name to understand the contribution of each workload over time!
The demo below is for dbt, but the same functionality exists for all workloads (with the exception of Query Patterns, since they don’t have a name).
Get up and running with SELECT in 15 minutes.
Gain visibility into Snowflake usage, optimize performance and automate savings with the click of a button.