Hello SalvM,
thanks for reaching out at this moderated community forum.
Yes, stopping a service lowers the costs drastically because no cluster VM and data handling VM are running anymore and only the storage of the data is left, as seen here:
Azure Data Explorer decouples compute resources from storage so that you can better manage your data processing needs and control costs. You only pay for compute when it's in use. When it's not in use, you only pay for storage.
When starting the cluster again, all VMs will be recreated, including loading the (hot) cache.
I recommend watching this video too. Although it is already a few years old, the content is still valid.
Detailed documentation about how to use the ADX pricing calculator is found here.
If stopping the cluster is not an option, eg. because of continuous data querying, consider the reserved capacity option of Azure Data Explorer.
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