Managed Service for Apache Spark documentation
Managed Service for Apache Spark on clusters lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. Managed Service for Apache Spark automation helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them. With less time and money spent on administration, you can focus on your jobs and your data.
Use Managed Service for Apache Spark serverless to run Spark batch workloads without provisioning and managing your own cluster. Specify workload parameters, and then submit the workload to the Managed Service for Apache Spark service. The service will run the workload on a managed compute infrastructure, autoscaling resources as needed. Managed Service for Apache Spark charges apply only to the time when the workload is executing.
Go to the Managed Service for Apache Spark product page for more.