- Standalone Mode: In this mode, Spark starts its own resource manager and uses its built-in resource scheduler to manage resources.
- YARN Mode: Utilize Hadoop’s YARN resource manager to manage resources for Spark jobs.
- Mesos Mode: Employing the Apache Mesos resource manager to oversee resources for Spark jobs.
- Kubernetes Mode: Utilize the Kubernetes container orchestration engine to manage the resources of Spark jobs.
- Local Mode: In local mode, Spark jobs run on the local machine without involving any resource manager.
- Amazon EMR Mode: Running Spark jobs on Amazon EMR, with resource management hosted by the EMR cluster.
- Databricks Mode: Running Spark jobs on the Databricks platform with resource management services provided by Databricks.
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