View product documentation

Use Dataproc Serverless to run Spark batch workloads without provisioning and managing your own cluster. Specify workload parameters, and then submit the workload to the Dataproc Serverless service. The service will run the workload on a managed compute infrastructure, autoscaling resources as needed. Dataproc Serverless charges apply only to the time when the workload is executing. Learn more

Get started for free

Start your next project with $300 in free credit

Build and test a proof of concept with the free trial credits and free monthly usage of 20+ products.

View free product offers

Keep exploring with 20+ always-free products

Access 20+ free products for common use cases, including AI APIs, VMs, data warehouses, and more.

Documentation resources

Find quickstarts and guides, review key references, and get help with common issues.
Explore self-paced training from Google Cloud Skills Boost, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Dataproc Serverless Quickstart Interactive Tutorial

Interactive tutorial for getting started with Dataproc Serverless.

Learn more  
Use case
Use cases

Dataproc Templates on GitHub

Dataproc Serverless ready-to-use, config-driven Spark templates.

Learn more  
Use case
Use cases

Dataproc Serverless Labs on GitHub

Dataproc Serverless for Spark hands-on labs built around common use cases.

Learn more