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Apache YuniKorn vs OpenPBS

Apache YuniKorn

yunikorn.apache.org

OpenPBS

openpbs.org

Side by side

FigureApache YuniKornOpenPBS
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · GPU Cluster Management Software8.1 (#6)7.6 (#9)
PurposeApache YuniKorn is a resource scheduler for running batch, data, and machine learning workloads on Kubernetes.OpenPBS optimizes job scheduling and workload management in high-performance computing environments.

Plans

Apache YuniKorn

  • Apache YuniKornFree

Apache YuniKorn pricing →

OpenPBS

  • OpenPBS open-source editionFree

OpenPBS pricing →

In their own words

Apache YuniKorn

Apache YuniKorn is a resource scheduler for batch, data, and machine learning workloads on Kubernetes. It is a Kubernetes-compatible alternative to the default scheduler and is described as transparent to existing Kubernetes applications. Hierarchical queues provide fine-grained tenant controls that can reflect an organization’s structure. Scheduling features include gang scheduling, FIFO and Fair job ordering, resource fairness, reservations, and preemption. A web UI centralizes cluster capacity, utilization, and application information. YuniKorn exposes metrics through Prometheus, and project guidance covers monitoring with Prometheus and Grafana. The project recommends deployment to an existing Kubernetes cluster using its Helm chart and Helm 3 or later. The software is free under the Apache License 2.0. Releases include source tarballs, which must be built before use, and prebuilt Docker images. The project advises checking release artifacts for tampering with GPG or SHA-512. Help is available through the YuniKorn Slack #yunikorn-user channel or the user mailing list.

Visit yunikorn.apache.org

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