Databricks makes a distinction between all-purpose clusters and job clusters. You use all-purpose clusters to analyze data collaboratively using interactive notebooks. You use job clusters to run fast and robust automated jobs.
You can create an all-purpose cluster using the UI, CLI, or REST API. You can manually terminate and restart an all-purpose cluster. Multiple users can share such clusters to do collaborative interactive analysis.
The Databricks job scheduler creates a job cluster when you run a job on a new job cluster and terminates the cluster when the job is complete. You cannot restart a job cluster.
There are 2 types of databricks clusters:
1) Standard/Interactive - best for querying and processing data by users.
2) Automatic/Jobs - best for jobs and automated batch processing.
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