Skip to content
SPECIFICTION
Get listed

AWS Batch vs OpenPBS

AWS Batch

aws.amazon.com

OpenPBS

openpbs.org

Side by side

FigureAWS BatchOpenPBS
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYes—
macOSYesYes
LinuxYesYes
APIYesYes
Self-hosted—Yes
Plans published21
Spec score · Job Scheduler Software9.0 (#2)7.8 (#10)

Plans

AWS Batch

  • AWS BatchFree
  • AWS Batch serviceFree

AWS Batch pricing →

OpenPBS

  • OpenPBS open-source editionFree

OpenPBS pricing →

In their own words

AWS Batch

AWS Batch plans, schedules, and runs containerized batch workloads for machine learning, simulation, and analytics. It provisions and scales compute on Amazon ECS, Amazon EKS, and AWS Fargate, with Spot and On-Demand instance options. Jobs can be submitted through the AWS Management Console, command line interfaces, or software development kits, and specify memory and vCPU requirements. Queues support priorities, dependencies, retries, and scheduling based on resource needs. Jobs can request GPUs, which Batch can scale for and isolate to the appropriate containers. For high-communication workloads, it supports multi-node parallel jobs across EC2 instances and Elastic Fabric Adapter. Workflow integrations include Pegasus WMS, Luigi, Nextflow, Metaflow, Apache Airflow, and AWS Step Functions. The console shows compute capacity and job metrics; job logs appear in the console and Amazon CloudWatch Logs. AWS Batch runs in the cloud and supports API, Linux, macOS, web, and Windows access. The service itself has no additional charge, but compute and storage resources used to store and run jobs are billed separately. Jobs need to be executable as Docker containers. Security follows a shared responsibility model: AWS protects cloud infrastructure, while customers are responsible for security in their own cloud use.

Visit aws.amazon.com

OpenPBS

OpenPBS schedules jobs and manages workloads in high-performance computing environments, including clusters, clouds, and supercomputers. Its policy-driven scheduling balances job turnaround time and system utilization while selecting job placements. The system is designed for millions of cores and has been tested beyond 50,000 nodes. A plugin framework provides administration visibility and supports customized extensions. Health checks monitor faults and can mitigate them automatically; the fail-over architecture is designed to avoid a single point of failure and keep jobs running through failures. OpenPBS is self-hosted and free under the AGPL 3.0 open-source license, while PBS Pro is also dual licensed commercially. Public-sector organizations such as academic and research facilities generally choose the open-source license. Community help comes through a volunteer forum, without a guarantee of answers or bug fixes. OpenPBS is integrated into the OpenHPC software stack. The installation guide states that SELinux is not supported, and critical and high security fixes are delivered in the next major release.

Visit openpbs.org