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AWS 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.

AWS Batch

Free plan APILinuxMac+2

AWS Batch provides scheduling and compute management for containerized batch jobs, including GPU and multi-node workloads. Factor the separate compute and storage charges into resource planning.

Visit AWS 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

AWS BatchQuartz Scheduler
Free planYesYes
Open sourceNoYes
Runs onAPI, Linux, Mac, Web, WindowsAPI, Self-hosted
Lowest paid planFree or on requestFree or on request
Plans published22
MakerNot publishedNot published
Websiteaws.amazon.comquartz-scheduler.org
On job scheduler software#2 of 26#1 of 26

AWS Batch: what it does well

  • Schedules jobs by priority and resource needs
  • Supports retries and job dependencies
  • Can scale for GPU requirements
  • Offers console, CLI, and SDK job submission

What to know first

  • Jobs must execute as Docker containers
  • Compute and storage are billed separately

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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