I have been reading the Azure Databricks pricing details but I can't find if there is any difference between the costs depending if the cluster is running a spark app or not.
I have a 2-node cluster that I use to upload a Spark application that, on an hourly basis, calculates certain elements and stores the result in a Databricks table. The table needs to be accessed by an external BI application, so the cluster needs to be up. Assuming that the cluster is running for a whole hour but only executing the Spark application for 5 minutes, am I going to be charged differently for the 5 minute execution time than for the other 55 minutes?
Any help would be appreciated.
Not really a question for here,
Any saved to storage is paid for continuously, but is pretty cheap. Like AWS, 'managed services' are more costly.
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