HTCondor vs Koordinator
HTCondor
htcondor.comKoordinator
koordinator.shSide by side
| Figure | HTCondor | Koordinator |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · GPU Cluster Management Software | 7.9 (#8) | 7.5 (#10) |
| Community support | Free, community-based best-effort support is available through the htcondor-users mailing list. | The project provides community support through a Slack #koordinator channel and a DingTalk group. |
| Job scheduling | Users submit jobs to HTCondor, which finds available machines and starts running the jobs there. | Its job-scheduling mechanisms support workloads in areas including big data, AI, audio and video. |
| License | HTCondor Software Suite is licensed under Apache License, Version 2.0. | The Koordinator project is licensed under the Apache License, Version 2.0. |
| Purpose | HTCondor creates a High-Throughput Computing environment by using the computing power of networked machines, clusters, cloud resources, and international grids. | Koordinator is a QoS-based scheduling system for efficient orchestration of microservices, AI and big-data workloads on Kubernetes. |
| Vulnerability reporting | The security page asks people to report suspected or confirmed vulnerabilities to [email protected] and says the team will coordinate a disclosure timeline with the reporter. | The project asks users to report vulnerabilities by email to [email protected]. |
In their own words
HTCondor
HTCondor is a free high-throughput computing system that coordinates networked machines to run submitted jobs. It finds available machines, matches their resource offers to job requirements and preferences through ClassAds, and can restart a job elsewhere if its current machine becomes unavailable. It is suited to submitting large batches, including thousands of runs across different data sets, and can use otherwise idle machines in a pool. Users do not need login accounts on machines running their jobs; file transfers and split execution support that model. HTCondor can draw on clusters, cloud resources, and international grids, and flocking can connect multiple installations. It supports transfers to and from S3-compatible storage, including Google Cloud Storage through its S3 interoperability API, but not entire buckets or directories. The software is licensed under Apache License 2.0, includes Python bindings, and offers user and administrator guides. Community support is available through a mailing list; paid contract support offers guaranteed resolution and faster turnaround. Security fixes cover current feature and LTS versions, with the previous LTS supported for approximately twelve months after a new LTS release.
Koordinator
Koordinator is a free, self-hosted QoS scheduling system for Kubernetes microservices, AI, big-data, audio, and video workloads. It adds priority and quality-of-service controls so different pods and workload types can share nodes. Application profiling supports resource overcommitment while preserving QoS guarantees, and fine-grained isolation targets latency-sensitive work alongside batch jobs. Customizable policies cover Web Service, Spark, Presto, TensorFlow, and PyTorch. QoSManager tunes pod isolation using profiling, interference detection, and SLO settings. Koord-Queue supports TFJob, PyTorchJob, Spark, Argo Workflow, Ray, and native Kubernetes Jobs, with Kueue AdmissionCheck compatibility. YARN Copilot connects Hadoop YARN jobs with Kubernetes pods. Koordinator works alongside kube-scheduler, using control-plane and node components without invasive native changes. Helm 3.5 or newer and Kubernetes 1.18 or newer are required.