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Google Cloud Batch vs Quartz Scheduler

Both stand on job scheduler software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Google Cloud Batch

Free plan APILinuxWeb

Batch automates resource provisioning and execution for workloads on Google infrastructure. The service has no separate charge, but underlying resources are billed and jobs remain subject to quotas and retention limits.

Visit Google Cloud Batch

Quartz Scheduler

Free plan Open source APISelf-hosted

Quartz offers flexible scheduling and deployment options for Java applications, with both database-backed and in-memory storage. Its built-in clustering depends on JDBCJobStore, and it is not intended to be a general job queue.

Visit Quartz Scheduler

The facts

Google Cloud BatchQuartz Scheduler
Free planYesYes
Open sourceNot publishedYes
Runs onAPI, Linux, WebAPI, Self-hosted
Lowest paid planFree or on requestFree or on request
Plans published12
MakerNot publishedNot published
Websitecloud.google.comquartz-scheduler.org
On job scheduler software#4 of 26#1 of 26

Google Cloud Batch: what it does well

  • Automatically provisions and scales compute resources.
  • Supports scripts and containerized workloads.
  • Tasks can run sequentially or in parallel.
  • Supports dependency controls, retries, and monitoring.

What to know first

  • Each job can have only one task group.
  • Quotas limit parallel tasks, VM counts, and runtime.
  • Finished jobs are deleted after 60 days.
  • Direct support for Batch issues requires a paid support package.

Quartz Scheduler: what it does well

  • Free under Apache License 2.0
  • Supports schedules from tens to tens of thousands of jobs
  • Offers JDBC and in-memory job stores
  • Includes JTA transaction and clustering support

What to know first

  • Built-in clustering requires JDBCJobStore persistence
  • RAMJobStore does not persist between program executions
  • Not designed as a job queue at larger scale

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